applying the predictable maintenance approach to dc

192
APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC TRACTION SUBSTATIONS IN SOUTH AFRICA By WILLEM SPRONG THESIS presented in partial fulfilment of the requirements for the degree DOCTOR INGENERIAE (D. Ing) in the FACULTY OF ENGINEERING of the UNIVERSITY OF JOHANNESBURG SUPERVISOR: PROF. JHC PRETORIUS JANUARY 2008

Upload: others

Post on 29-Oct-2021

28 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC TRACTION SUBSTATIONS

IN SOUTH AFRICA

By

WILLEM SPRONG

THESIS

presented in partial fulfilment of the requirements for the degree

DOCTOR INGENERIAE

(D. Ing)

in the

FACULTY OF ENGINEERING

of the

UNIVERSITY OF JOHANNESBURG

SUPERVISOR: PROF. JHC PRETORIUS

JANUARY 2008

Page 2: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

ABSTRACT This dissertation deals with the important issue of reliability management for 3kV DC Traction

Substations used by the national railway company in South Africa. Maintenance is one of the critical

and most costly phases in the lifecycle of any plant. It looks at the total life cycle of the equipment in a

typical substation, but the focus in the latter chapters is on the maintenance.

Through improved maintenance management, the reliability of the system can be improved. The

approach to maintenance is addressed as a predictive strategy, avoiding even more costly non-

productive time due to downtime caused by failure or induced by maintenance. Condition monitoring

and assessment is described as one of the effective tools in the maintenance engineer’s armoury to

apply a predictive approach.

A direct link between predictable maintenance and reliability is explored. In the definition of reliability,

concepts such as time and expected performance can be linked to a predictable delivery of the

designed function. In other words, if down time is expected and can be prepared for, it is more

acceptable than the unexpected. In essence, the system is still reliable as it performs according to

expectation.

The concept of predictable maintenance can be applied wider than just the 3kV traction substation.

The process of identifying critical equipment, to measure the condition and to take decisions based on

the rate of change in the condition can be used in any maintenance environment, even outside

electrical. The crucial ingredient to this is to understand that condition monitoring is not based on fixed

values, but the rate at which these values change. This is called Fuzzy logic.

Can we predict the future? If yes, how accurate will the predictions be?

Page 3: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

ACKNOWLEDGEMENTS

I hereby wish to express my sincere thanks to the following people for their inputs to help me

complete this study:

• To my promoter, Professor JHC Pretorius, for his support.

• To my colleagues, Danie Barnard, Thys Grové, Oelof van Niekerk and George Roets, for

helping me with the research and all the equipment you borrowed me.

• To my parents, thank you for the opportunities to further my education.

• Thank you to my family, Sarita, Andé and Huibrecht, for you patients and support.

• Last but not least my Heavenly Father, without Him at my side I would never have been able

to complete this study.

Page 4: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

CONTENTS

Chapter Description Page

ABSTRACT

ACKNOWLEDGEMENTS

ACRONYMS 1

LIST OF FIGURES 2

LIST OF TABLES 3

1 INTRODUCTION 4

1.1 Problem statement 4

1.2 The organisation of the dissertation 11

1.3 Research objectives explained 13

1.4 Conclusion 16

2 ELECTRICAL TRACTION SYSTEMS 17

2.1 Introduction 17

2.2 Electrical systems for Railway power supply. 17

2.3 Overview of the 3kV DC system 20

2.4 The schematic layout of a 3kV DC substation 23

2.5 Summary 33

3 RELIABILITY STUDY OF A 3KV DC SUBSTATION 34

3.1 What is reliability? 34

3.2 Probabilistic reliability 37

3.3 The reliability function 39

3.4 The Bathtub curve 41

3.5 Reliability component relationships 42

3.6 Block diagram analysis of a 3kV DC substation 45

3.7 Failure mode, effect and criticality analysis 48

3.8 The influence of workload on reliability 66

3.9 Summary 68

4 VISUAL INSPECTION FOR 3KV DC SUBSTATIONS 69

Page 5: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

4.1 Introduction 69

4.2 Inspection form for 3kV DC substation 70

4.3 Importance of different components on the form 73

4.4 The physical inspection 74

4.5 Influence of the level of expertise and experience 75

4.6 Substation inspections on sample stations. 79

4.7 Interpreting the data 82

4.8 Summary 83

5 TECHNOLOGY TO MEASURE CONDITION 84

5.1 Introduction 84

5.2 General scope for condition monitoring of 3kV DC traction substation. 87

5.3 Monitoring interface for critical components 88

5.4 Block diagram of the condition monitoring system 106

5.5 Summary 108

6 ANALYSING MEASUREMENTS 109

6.1 Setting engineering limits 109

6.2 Surge Arrestors 110

6.3 Primary Circuit breakers 113

6.4 Traction Transformer 116

6.5 Rectifier 119

6.6 High Speed Circuit breaker 120

6.7 Batteries and chargers. 121

6.8 Summary 122

7 FUTURE DEVELOPMENT FOR REAL BUSINESS NEED –PREDICTIVE MAINTENANCE 123

7.1 Real business need. 123

7.2 Sustaining development 124

7.3 Key trends for condition monitoring in the future 128

Page 6: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

7.4 Software development 129

7.5 The fuzzy logic program 137

7.6 Summary on fuzzy logic 139

7.7 Vibration measurement as an alternative. 140

7.8 Summary 143

8 CONCLUSION 144

8.1 Why sustainable condition monitoring 144

8.2 What are the obstacles that prevent sustainability? 144

8.3 How to implement a maintenance program. 146

8.4 How to sustain the maintenance program. 147

8.5 Objectives of this study 148

8.6 Future study 148

8.7 Final word 149

9 BIBLIOGRAPHY 150

10 ANNEXURES 154

10.1 Substation Logbooks 154

10.2 Substation Power Usage 165

10.3 Substations Condition Assessments 169

10.4 Electrical Fault list 171

Page 7: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

1

ACRONYMS

λ Number of failures θ Mean life A Ampere AC Alternating current C Capasitor 0C Degrees Celsius DC Direct current EL Earth Leakage Ea activation energy FMECA Failure mode, effect and criticality analysis F(t) Probability of failure over specified time f(V) applied voltage HSCB High speed circuit breaker H.C. Holding Coil IQR Interquartile range kV kilovolt km kilometer kwh kilowatt-hour MOD Motor operated disconnects mH milihenry mov Metal oxide varistor MTBF Mean time between failure MTTF Mean time to failure OHTE Overhead track equipment O/L Overload OCB Oil circuit breaker PCB Primary circuit breaker R Reliability r Resistor RDB Reliability block diagram t Time T Temperature in Kelvin T/B Track breaker UVP Undervoltage potentiometer V Volt γ Instantaneous failure rate

Page 8: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

2

LIST OF FIGURES Figure 1.1 Iceberg of cost Figure 1.2 PDM Cycle for critical equipment Figure 2.1 Typical feeding arrangement for DC systems Figure 2.2 Typical feeding arrangement for AC systems Figure 2.3 Block Diagram : Typical feeding arrangement for DC systems Figure 2.4 Schematic layout of a 3kV DC Traction Substation Figure 3.1 Reliability curve for the exponential distribution Figure 3.2 Typical failure-rate curve. Figure 3.3 A series network Figure 3.4 A parallel network Figure 3.5 Some combined series-parallel networks Figure 3.6 Reliability block diagram of a 3kV DC traction substation Figure 3.7 Reliability block diagram of a 3kV DC traction system Figure 3.8 Total power usage over 12 months Figure 4.1 Inspection form for 3kV DC traction substations Figure 4.2 Distribution plot of test results Figure 4.3 Quantile plot of test results Figure 4.4 Boxplot for test results Figure 4.5 Results of substation inspections Figure 4.6 Average of inspections per month Figure 4.7 Average of inspections per substation Figure 5.1 Age distribution for traction transformers in South Africa Figure 5.2 Pulse Rating Curves Figure 5.3 Current, energy and power derating curve Figure 5.4 Electrical representation of a ZnO varistor Figure 5.5 Increase in avarage leakage current Figure 5.6 Typical zinc-oxide varistor characteristics Figure 5.7 Typical oil flow Figure 5.8 Bucholtz Relay Figure 5.9 Typical High Speed Circuit Breaker Figure 5.10 Maximum allowable contact wear Figure 5.11 Blockdiagram of condition monitoring system. Figure 6.1 Surge count on lighting arrestor Figure 6.2 Leakage current tested on Metal Oxide Surge Arrestor. Figure 6.3 Operations during fault conditions Figure 6.4 Count of all operations. Figure 6.5 SF6 level as a percentage Figure 6.6 Top and bottom oil temperature – Transformer A Figure 6.7 Top and bottom oil temperature – Transformer B Figure 6.8 Current vs top temperature Figure 6.9 Accumulative calculated energy Figure 6.10 Contact wear Figure 7.1 PDM Cycle for critical equipment Figure 7.2 Typical failure-rate curve Figure 7.3 Typical time waveform for a traction transformer Figure 8.1 Team scheduling

Page 9: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

3

LIST OF TABLES Table 2.1 The basic parameters for a 3kV Substation Table 2.2 The Legend of figure 2.4 Table 2.3 Different types of high voltage circuit breaker drive mechanisms Table 3.1 The key to figure 3.6 Table 3.2 FMECA for a 3kV DC traction system Table 3.3 Substation visits Table 4.1 Component description for Inspection form Table 4.2 Assessment scale for inspections Table 4.3 Scoring during test on eight people with different levels of experience and

expertise Table 4.4 Background on each person taking part in the test Table 4.5 Quantiles of the test results Table 4.6 Distance between base depot and substation Table 4.7 Summary of weather at each substation

Table 5.1 Different types of high voltage circuit breaker drive mechanisms Table 7.1 Equipment variables

Page 10: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

4

1 INTRODUCTION 1.1 Problem statement A quote from an article written by Sandy Dunn (2005) [1] called Condition Monitoring in the 21st

Century - “Predicting the future is fraught with danger. Many wiser heads than mine have made

bold predictions of the future, only to be proved hopelessly wrong.” – maybe why the art of

predicting maintenance requirements never evolved. According to her the field of condition

monitoring was only established with any significance during the last quarter of the last century.

Condition monitoring is taken to mean the use of advance technologies in order to determine

equipment condition and potentially predict failure (Dunn, 2005) [1][2][3]. It includes, but is not

limited to technologies such as:

• Vibration measurements and analysis

• Infrared thermography

• Oil analysis and tribologie

• Ultrasonics

• Motor and transformer current analysis.

Condition monitoring is most frequently used as a predictive or condition-based maintenance

technique. However, there are other predictive maintenance techniques that can also be used,

including the use of the human senses (look, listen, feel, smell etc.), machine performance

monitoring, and statistical process control techniques. Chapter 3 describes a statistical

technique called Failure Mode, Effect and Criticality Analysis (FMECA) and chapter 4 explores

the use of human experience to obtain an accurate indication of condition.

The 3kV direct current substation is part of an electrical system that is needed to run electrical

locomotives. This electrical power is very cost effective in comparison with other forms of

energy [4], but only if the maintenance cost of this system can be held to the minimum. With the

volatile international economy it is important to make use of sustainable resources like the

locally produced electricity. This will reduce the risk of being dependant on oil prices that are

influenced by political stability in other countries.

It is not good practice to cut down on the maintenance itself, because of the very high repair

cost of substations once a catastrophic failure has occurred. To define a catastrophic failure it is

necessary to look at the types of failure that might occur.

Page 11: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

5

The cost involved in repairing these failures and the consequent loss in production must be

analysed to find a proper definition of such a failure. The FMECA is based on a proper

understanding of the different modes of failure [5][6] and what caused it.

However, what changes occur within the field of condition monitoring will, in the long run,

only be sustained if it successfully address real business needs. In this area, condition

monitoring has a long way to improve, according to research from the USA. Repeated

surveys have led to very similar findings that: [1][7][8][9][10][11][12][13]

• Organisations are reluctant to invest in new manufacturing technologies because

they and their management aren’t convinced of the return on investment.

• In a survey of 500 companies, less than 3% of respondents were able to achieve a

measurable return on their investment in predictive maintenance technologies.

What is the real business need that will drive sustainable change in condition monitoring in

the new century? In these studies, mentioned above, the view is that asset effectiveness

will dominate the industrial maintenance scene for the first part. Effectiveness is the need

to extract maximum profits from the minimum investment in plant and equipment.

It is proposed to achieve this through the use of condition monitoring technologies in one of

five ways [1][12][13]:

• By improving equipment reliability through the effective prediction (and then

avoidance) of equipment failures.

• By minimising downtime (Mean-Time-To-Repair) through the integrated planning

and scheduling of repairs indicated by condition monitoring techniques with those

indicated by other techniques

• By maximising component life by avoiding the conditions that reduce equipment life

(for example, preventing over heating).

• By utilising condition monitoring techniques to maximise equipment performance

and throughput (for example, running close to thresholds).

• By minimising condition monitoring cost.

Page 12: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

6

The basic rule still remains that more must be done with less. This study will apply the

above ideas to provide a solution to the maintenance need for traction substations in South

Africa.

It is not good practice to spend lots of money on maintenance only and not to use the

opportunity to improve the overall condition of the assets, resulting in increased life

expectancy and reduced life cycle cost. There must be a change in the thinking and

method of working towards a more effective and efficient result. Simply going in the same

direction year after year will result in the available money not being spent in the best way.

In the case of Spoornet, the age distribution of staff shows that most members employed in

the technical field are older than 50 years with almost 60% being older than 55 years. It is

commonly accepted that older staff are more resistant to change than younger ones.

Unfortunately the experience that these staff members has also work against change

[4][14].

During a survey done by the author [15], 100 members were interviewed, of which 85%

that were against change, were older than 50 years. They felt that proven methods should

not be changed and that “most change just occurred for the sake of change”. The

challenge in this study was not just to look at new strategies for maintenance, but also how

to implement it effectively.

But why the need for a radical change in the railway industry? According to Petkoon

(1999)[16], railway transportation in South Africa has undergone some significant and

fundamental changes over the past ten to fifteen years. Some of these changes were

thrust upon the organisation by external developments and a number of them were by

design. The company had to adapt to some new positional and mindset changes to

compete in a highly competitive environment (Petkoon, 1999) [16].

Traditionally the organisation had national and social responsibilities towards the people in

South Africa [4]. One of these responsibilities was the so-called Common Carrier task. This

meant that all goods that they were requested to transport had to be catered for,

irrespective of the volume or the distance involved. An example of this was the old milk can

that had to be picked up at every station or even between two stations. Then, with the

Page 13: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

7

development of new transport technology, a paradigm change had to take place to keep up

with the new competition.

The railway transportation companies previously operated in a regulated market where the

competitors had to apply for a permit before any goods could be transported. It was up to

the government-owned railway company to decide to oppose such an application, and the

applicant then had to prove that existing service was inadequate for the market

requirements. As deregulation became a reality truckers were allowed to enter the market

freely and a substantial percentage of the market share was lost to the road. Railway

transport’s survival now depended on its ability to render a superior service at a

competitive price (Petkoon, 1999) [16].

The old South African Transport Services, an enterprise of the state under control of the

Minister of Transport, transformed into the company called Transnet. This company is still

owned by the state, but for the process of privatisation to take place it must become

profitable. Tariffs can no longer be adjusted to offset projected expenditure. The converse

became a glaring reality: expenditure budgets must be based upon the expected revenue

generating activities of the organisation. Maintenance will always remain a very important

and big expenditure to a company such as Spoornet. Throughout South Africa most of the

equipment in use on the railways were designed with the idea in mind that the state will be

able to pay for repairs if necessary. That is no longer the case and engineers are left with a

great challenge to do cost effective-maintenance on very old equipment.

This implicates that the railway and its operating there off are no longer a job-creating

organisation like in the past. With competition came the painful task of optimising resources

to match the task at hand in such a manner that customers would choose to transport their

goods via the railway on merit. It also implies that railway companies need to focus on

retaining important skills needed for maintenance. To be able to do maintenance on a

substation, highly trained people must be deployed. It is important to consider feeding

channels to fill vacancies with competent staff. Safety of workers may be compromised if

inexperienced people are appointed in the wrong positions.

Railway engineering have a proud tradition of technological innovations [4][14][16]. The

problem with this, however, is that these inventions were unique to the railways and its

Page 14: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

8

requirements. This was no problem during the construction days of the infrastructure.

Equipment was manufactured in great numbers and manufactures were willing to spend

money on building plants and factories to meet the demand for these equipment. Since the

end of the construction era it became more of a daunting task to find the right components

to repair these great inventions. So, even excellent equipment simply cannot be repaired

anymore due to the lack of spare parts. It became even more important to do proper

maintenance, so as to prolong the life of this equipment.

Against the background of all these changes, Spoornet had to position themselves in such

a way that they would be successful in the long term. For most companies “long term” is

probably not more than five to ten years, but for railway companies it is probably between

twenty and forty years. The very nature of the equipment that is in use (cost, lead-time and

technical life) implies that decisions must be taken that span decades (Petkoon, 1999)[16].

With this in mind it is a great challenge to design solutions based on technology that will

not only be “timeless” on the one hand, but also be swiftly adaptable. To prevent some of

the problems that occurred in the past, adaptability must be a very important philosophy

when considering new ways to improve the service delivery, because in the end all railway

companies will remain service-delivery companies and would not be able to survive if they

have dissatisfied clients.

The substation forms an integral part of the entire transport system that must be

maintained. Without a proper power supply to the locomotives the competitive edge will be

lost, because by making use of electricity, trains are utilising the cheapest form of energy

available in South Africa. According to du Plessis (1999)[4] electrical energy is 3.83 times

cheaper than diesel. The cost to maintain diesel locomotives is also much higher compared

to that for electrical locomotives. The study to compare these types of energy is a very

interesting field but can take up pages of calculations and motivations, and is not part of

this investigation.

The next issue that must be discussed is the importance of maintenance. It might argued

that a good design is more important than a good maintenance plan. That might be the

reason for the very low interest in maintenance during past training of engineers and

technical staff at institutions across the globe. But since the big construction era worldwide

Page 15: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

9

is something of the past it is now very important to focus on maintenance. The final goal of

any maintenance must be to prolong the lifecycle of any piece of equipment. There are

many factors that play an important role in decisions on when and what must be done to

get better value for money. Even during the design stage, the lifecycle engineers need to

look at the maintainability of the design. They need to consider the problem of component

obsolescence which affects all products and equipment throughout the total life cycle and it

is not limited to certain hardware.

Obsolescence also effects test and support equipment, software, tools and processes.

Obsolescence is the non-availability of spares for the specific component or that the

component is no longer manufactured by the original supplier. [17][18][19]

The lifecycle of traction power supply (substation) equipment consists of the following

phases :

The operational and maintenance phase for traction equipment are typically 30 years for

coastal and 50 years for inland areas (Du Plessis, 1999) [4]. The first three phases are

relatively short compared to the operating and maintenance phases. It is important to

remember that mistakes made during the design phase will have great influence during the

operating phase and might cause some major maintenance problems. It might even cause

the renewal phase to occur much faster than expected. So even though it might be a very

short period of time in the entire lifecycle, the design phase still remains one the most

important phases. To understand the cost involved, Figure 1.1 must be considered.

In 2007 the acquisition cost of a typical 3kV DC substation is in the order of R6M per unit

while the maintenance and operating cost will be approximately R120 000 per annum.[15].

Design

Test

Construction

Operate

Maintain

Renew

Page 16: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

10

Based on a life expectancy of 40 years a substation will cost anything in the region of

R3.6M over its useful lifespan, if no inflation is taken into account. Training normally

constitutes 5% of the maintenance cost while for a DC substation and overhead track

equipment, the operating capital is about R10.15M per year (Du Plessis, 1999)[4].

The big challenge today is to decide on what maintenance must be done to keep the

substation as cost-effective as possible. It is not acceptable to spend large amounts of

money trying to maintain something while it will be better to replace it with new technology.

Methods must be found that will enable the maintenance engineers to do better

maintenance on old equipment so that the availability of the system is increased. This will

result in a more reliable system that will enable a more predictable service. It is necessary

to satisfy the clients who will keep the companies competitive in this changing environment.

Figure 1.1 : Iceberg of cost (Du Plessis, 1999) [16]

Operating capital

Acquire

Training

Operating cost

Maintenance cost

Scrap

Lifecycle

Page 17: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

11

1.2 The organisation of the dissertation

To address the business need described earlier is important for this study. This need can

be summarised as improving the availability of traction substations over an increased life

expectancy without drastically increasing the required resources. A process must be

developed that will enable the maintenance engineer to make decisions that will be efficient

and effective.

The working of the 3kV DC substation must first be understood and is therefore explained

in chapter 2 where a discussion on the different electrical traction systems is followed by

the schematic layout of the 3kV DC traction system. This chapter is important to help the

reader understand the major components inside a substation and to get an overview of

how they work together for an entire system that has the ultimate function of supplying 3kV

DC to the locomotive running on the railway track. Schematic diagrams will help illustrate

this concept.

In chapter 3 the theory of reliability management will be discussed. The concept of

reliability and availability will be detailed. This will be followed by an analysis of the 3kV DC

system. The main output of any maintenance effort should always be to increase the

reliability of the component that is maintained. To understand what decision must be taken

towards maintenance, the concept of reliability must be understood. The FMECA is a

statistical method to help the decision makers understand where inherent risk is the

biggest. It was used in this study to determine the important components that should be

monitored and inspected to enable the best possible outcome.

After the discussion of statistics in chapter 3, the design of an inspection form will be

discussed in chapter 4. Some analysis was done to check the data that is obtained from

the human senses and to scientifically verify the usefulness of the information. Some

factors that might influence the outcome are investigated and described. The method used

to design this form can be implemented to design any similar type of form for different

application other than traction substations.

In chapters 5 and 6 the technology that was used to obtain the information required for

Page 18: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

12

condition analysis is explained. The outcome of tests done on a typical 3kV DC traction

substation is shown. Due to monetary constraints these tests, unfortunately, could only be

performed on selective substations, but the discussion in chapter 6 will assume

implementation in most of the 593 3kV DC traction substations in the network across South

Africa. The implementation of these tests is discussed and some critical obstacles in the

successful implementation are looked at.

Chapter 7 describes the future development of these techniques that can improve the

ability of engineers to make decisions on maintenance input based on business

requirements as described earlier in this chapter. An application in the use of vibration

theory for condition measurements of a transformer was developed and is discussed in this

chapter.

The measurement and analysis of vibrations is common method used in the mechanical

industry to identify problems on rotating machines. In this chapter the theory is explored to

apply this technology to transformers. If the vibration signal can be analysed as a voice

recording, then the transformer might just be able to “tell” you what is wrong.

The development required to ensure the sustainability of condition monitoring is discussed

in chapter 8. The implementation of knowledge gained in 3kV DC traction substations

across the high voltage environment and the added advantages like risk assessment for

insurance companies is finally discussed to put the icing on a groundbreaking experience

in this study.

Page 19: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

13

1.3 Research objectives explained

The objective of this study is to implement a new strategy towards planned maintenance.

There are currently four strategies being used in the field of maintenance engineering.

These are major breakdown, minor breakdown, routine corrective and preventive

maintenance. There is also a fifth strategy to redesign the system or specific components

in the system.

Maintenance during major breakdowns is very expensive and time sensitive. When this

strategy comes into play the system is down and must be repaired as quickly as possible

to prevent production losses. Minor breakdowns occur when certain components of the

system fails and cause the system to be down. It is easy to replace the components and

cost is lower compared to that of major breakdowns. Remember that one of the business

needs to ensure sustainability was to reduce the down time or MEAN-TIME-TO-REPAIR

(MTTR).

Routine corrective maintenance is a strategy where less critical components are

replaced after they failed. The failure of these components does not cause the system to

fail entirely. These three strategies are reactive of nature and are the unscheduled repair

of failed components to restore its functional capabilities. With certain components it

might be feasible to follow this strategie where the failure will not influence the ability of

the system to perform at the designed output. From the FMECA in chapter 3 it will

become clear how this can be determined.

Pro-active strategies are less costly and time consuming. Preventive maintenance is

such a strategy where components are replaced before they fail using a planned

maintenance schedule. These schedules have historically been based on

recommendations from original component manufactures. To date this has been the

preferred strategy by most companies due to a lack of precision knowledge on the

condition of the components. The objective of this study is to change all of that and make

information available to take away the guessing in preventative maintenance.

Page 20: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

14

The fifth strategy that can be considered is that of redesigning the system or some

components in the system. The need for this arises from the fact that the required

function of the system changed through, for example, an increase in production. Some of

the components might become unavailable which will render the system un-

maintainable. Redesign is the only option in cases like these.

According to Bobrow (1996) [20] many utility companies across the world apply time-

based and condition-based maintenance to preserve the function of a specific device of

piece of equipment. In this study a sixth strategy is introduced based on this. It is called

predictable maintenance and makes use of information gathered during condition

assessments to apply engineering intelligence before arriving at a plan to do effective

and efficient maintenance. [3][21]

Micheal V Brown (2003)[12][13] defined predictive maintenance (PDM) in an article he

wrote for the New Standard Institute as a comparative of the trend of measured physical

parameters against known engineering limits for the purpose of detecting, analysing and

correcting problems before failure occurs. This approach can be applied to any

equipment problem if, a physical parameter like vibration, temperature, pressure,

voltage, current, or resistance can be measured. An engineering limit for the measured

physical parameter must be established so a problem can be detected during routine

monitoring. This limit should be low enough to detect a problem before destructive failure

occurs. Correcting the root problem is the key to most predictive efforts.

According to Brown (2003)[12], all critical equipment that is added to the program, enters

the cycle shown below in figure 1.2. [12]

Page 21: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

15

Figure 1.2 : PDM Cycle for critical equipment (Brown, 2003)[12]

From Brown’s definition it is clear that the measurement of a physical parameter in itself is

not enough to detect the destructive effects on the equipment. It is important to establish a

limit or rate of change in the parameter that may be excessive or damaging.[12][13].

One method of determining a limit requires that a number of failures be observed before a

safe limit is established. Due to a lack of data on such observations the information had to

be based on personal objective experience from technicians that work on the equipment for

years. The manufacturers have already established many of the engineering limits for the

equipment. The objective in chapter 6 is to look at the limits and define them for the

equipment under discussion.

The research in this dissertation should open the door to the sustainability of predicting

maintenance requirements for 3kV DC substations. It should also not be limited to this

application only, but can be used throughout the high voltage installations and applications

in the industry. The fundamentals discussed for electrical equipments can also be applied

to other disciplines in engineering.

To change mindsets are just as important as changing technology. Without the acceptance

of the new strategies, maintenance will remain dependant on the human input and will be

Page 22: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

16

performed objectively according to experience. People experience problems differently and

learn to react on faults based on previous experience.

One of the most common excuses to resist change that was brought to the table during the

survey was the shortage of trained staff. Whatever the different opinions were, most felt

that their experience and loyalty, towards the company, been abused by senior discussion

takers who had only one objective. They were chasing numbers and not sustainability. This

will be discussed in later chapters.

1.4 Conclusion This study explores the possibility to predict maintenance requirement for high voltage

electrical equipment through the analysis of information obtained from condition monitoring.

New applications will enable the maintenance engineer to accurately predict what the

maintenance requirement for his/her plant will be and to act accordingly.

Although the study focuses on the 3kV DC Traction system, it can be applied to various

different installations where the same principals will be used.

The successful implementation of predictable maintenance will ensure the sustainability of

a company that is heavily dependant on effective and efficient maintenance of its

infrastructure network.

Page 23: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

17

2 ELECTRICAL TRACTION SYSTEMS 2.1 Introduction The detailed layout for a 3kV DC traction system is very complex. However, for the

analysis that will be done in the following chapters it is necessary to understand only the

most important components and how they are working. This chapter forms the basis for

an analysis of the reliability of the 3kV system.

2.2 Electrical systems for Railway power supply. Electric power for the operating of electrified traction systems are mainly supplied by the

local utility company at voltages ranging from 11kV to 220kV. In some areas supplies are

also obtained from the local municipalities, for example in Durban, Cape Town and

Newcastle. The supply from the municipalities is not always that well-regulated and may

fluctuate as the demands of factories and other users on the same line may vary. If the

substation is not well-protected against sudden voltage increases and decreases, major

damage may occur when these fluctuations take place.

The power is normally distributed amongst the various substations via the utility

company’s network, although the transport company’s distribution networks are providing

its own power to some areas. The nominal voltage of these networks is either 33kV (Cape

Peninsula) or 42kV (Pretoria). In some rural areas the electrical network of the areas next

to the railways is also supplying power to local users, like farmers and sawmills from the

6.6kV distribution network that is used for power supply to the signals. This is, however

not an ideal situation because it influences the quality of the supply. It also creates

problems when billing must be done and is not a very cost-effective approach because its

means that extra staff must be paid and trained to keep the records up to date and to

make sure that these private users receive bills on a regular basis. [4][13]

There are three basic traction systems in use on the railway lines in South Africa at

present. These are 3kV DC, 25kV AC and 50kV AC. The three systems differ from each

another in respect of the method of feeding the overhead track equipment (Spoornet

Engineering Instruction : EP.001 Issue 1)[14]. The 3kV traction substations are all

connected to the overhead track equipment (OHTE) in parallel feeding arrangement. The

feeding arrangement implies that each substation supplies the complete 3kV network, in

Page 24: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

18

contrast to the AC system where generally each substation feeds a dedicated section of

line. A typical feeding arrangement for DC systems can be seen in Figure 2.1.

Figure 2.1 : Typical feeding arrangement for DC systems (Spoornet Engineering Instruction : EP.001 Issue 1)[14]

There are many advantages and disadvantages of AC over DC, but to summarise, the

main advantage of using AC is that the substations can be placed much further apart.

Where the typical distance between two DC substations may vary between 8 to 15km,

25kV AC Substations can be placed up to 30km and 50kV substations up to 50km apart.

An AC substation is much less complicated and therefore much cheaper to maintain. One

of the big disadvantages is that an AC locomotive is far more expensive than a DC

locomotive. According to the latest values available from the local railway company an AC

locomotive will cost 80% more than its counterpart in the DC locomotives. But with the

development of new technology it is becoming better and better to use AC. In fact, all the

latest designs are AC systems, of which the newest example is the electrification of the line

between De Aar and Kimberley. [4][13][15]

One of the other main advantages is that it is much easier to get a regulated voltage for the

direct current, because only the IR (losses due to the internal resistance of the copper wire)

drop is involved. The current carrying capacity of the DC line is also greater than that of AC

cost-wise. In other words, there will be a greater capacity available on the DC line if the

Page 25: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

19

same amount of money were spent to build a DC and an AC line. [4][13].

In order to balance the loading on the three phase supply network, it is essential that

alternate sections of the AC traction systems be supplied from different phases and that

phase breaks be provided between different sections. Traction sectioning stations are

provided at phase breaks with a circuit breaker connected across the phase break. This

circuit breaker is normally open and will only be closed in the event of power failure on one

section in order to restore the supply from an adjacent healthy section. Figure 2.2 shows a

typical feeding arrangement for AC systems. [4][15]

Figure 2.2 : Typical feeding arrangement for AC systems (Spoornet Engineering Instruction : EP.001 Issue 1)[14]

Page 26: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

20

2.3 Overview of the 3kV DC system

In the case of the 3kV DC systems, which comprise approximately 80% of the total

electrified system, the utility’s high voltage supply is stepped down and rectified by AC to

DC power through silicon rectifiers. The 3kV DC is fed into a substation busbar from

which high-speed DC circuit breakers feed the various overhead track equipment

circuits. Tie stations are sometimes provided between substations or at line junctions for

the purpose of increasing the trip settings of the substation breakers.

Figure 2.3 shows what a block diagram for a typical DC feeding arrangement looks like.

It is important to note the major components shown in the diagram. These are discussed

in the following paragraphs.

Figure 2.3 : Block Diagram : Typical feeding arrangement for DC systems (Spoornet

Engineering Instruction : EP.001 Issue 1)[14]

Page 27: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

21

The power is supplied by the local utility company (Eskom in this case) and firstly passes

through their isolators. This isolator enables the utility to switch the power to the

substation when work must be done on the AC disconnects. These disconnects belong

to the railway company that uses it to isolate the substation. Note that when opening the

disconnects the primary side of the transformer is automatically earthed.

The Primary Circuit Breakers form a very important part of the protection circuits in the

substation. It must switch the supply when a fault situation inside the substation occurs.

Locally two types of Circuit Breakers are used, namely the oil and SF6 filled breakers.

The supply from the utility company must then be stepped down and passes through the

main transformer. This transformer is the single most expensive piece of equipment in a

substation and will cost R1.5M to replace [15]. All the above equipment is situated

outside the building. From the secondary side of the transformer the electricity is fed

inside the building to the rectifier. All modern rectifiers are built with silicone diodes.

The 3kV DC then runs via a busbar to the high-speed track breakers. These breakers

must protect the substation on the DC side from faults that might occur on the overhead

track equipment. Just before the direct current is fed onto the line it passes through the

track switches outside the building close to the line. These switches can only be

operated by hand. From there it is fed onto the line. All of this will be discussed in greater

detail later on in chapter 2.

The function of the tie station shown in figure 2.3 can be seen as a remotely operated

switch. It gives extra protection on the 3kV side and allows greater currents to be drawn

from the substations. It is not always found between substations.

The basic laws of electricity demand that a return path for the current must exist. Figure

2.3 shows that the rail forms this path, called the negative return for 3kV DC electrified

systems. However, in some instances the rail is enhanced or supplemented by negative

conductors and earth wires. The complete negative return circuit must be insulated from

the ground to minimise the likelihood of return currents to the substation passing through

water pipes, fences, reinforced concrete foundations, et cetera, in contact with earth.

This will cause corrosion of these steel structures. The electrolytic corrosion or

Page 28: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

22

electrolysis can cause foundations of structures to crack. Cases where fences that

became red hot due to these stray currents, have been reported as well. [14][21]

The resistance between the negative return circuit and the ground should always be

more than 25 ohms when measured on the negative cable at any substation (Spoornet

Engineering Instruction : EP.001 Issue 1). [14]

The basic parameters for a 3kV DC traction substation are given in Table 2.1. The

substation spacing indicates that the substations are situated 8 to 15km from each other

along the railway line.

Table 2.1 : The basic parameters for a 3kV Substation

(Spoornet Engineering Instruction : EP.001 Issue 1)[14]

2 hour rating 1.5 x continuous

0.5 hour rating 2 x continuous

Continuous output current 1500 amperes

Nominal output voltage 3000 volts

Approximate total cost R2 500 000

Substation spacing 8 to 15km

Page 29: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

23

2.4 The schematic layout of a 3kV DC substation

To understand the reliability and availability of a 3kV DC substation, a thorough look at the

different components of this system is necessary. In this chapter a better understanding of

the main components will be created by explaining the schematic layout of such a system.

Figure 2.4 shows the layout of a typical single unit 3kV Direct Current substation in

schematic form. A single unit substation has only one supply, while a double unit will have

two supplies (two transformers).[14][21]

Figure 2.4 : Schematic layout of a 3kV DC Traction Substation (Spoornet Engineering

Instruction : EP.001 Issue 1)[14]

Page 30: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

24

Table 2.2 : The Legend of figure 2.4

M.O.D. Motor operated disconnects V Voltmeter

EL Earth leakage (DC) A Ampere meter

C/T Current transformer T/B 3kV high speed circuit breaker (H.S.C.B.)

1 Mechanical interlocking F Fuse

O/L Overload MOV Metal oxide varistor

C Capacitor S Micro switch

R Resistor H.C. H.S.C.B. holding coil

mH Inductance coil U.V.P. 3kV DC undervoltage potentiometer

2.4.1 Supply from the utility company

From the utility company’s supply line, lightning arresters are connected between the three

phases and earth to protect all the equipment in the outdoor section of the substation

against lightning surges. Lightning is one of the biggest hazards for any electrical

installation. There are a great number of methods to protect equipment against strikes but

none of them are failure proof. There is always a possibility of a lightning strike and it must

be taken into account when calculating risk.

2.4.2 Disconnect switches

The disconnect switches are provided directly beyond the lightning arrestors for the

purpose of isolating the substation from Eskom supply to carry out maintenance work.

These switches are electrically and mechanically interlocked with the primary circuit

breakers to prevent them from being operated under load. The electrical interlocking

circuit is controlled by a set of contacts which, when the handle is turned to the open

position, make contact before the main blades open. This places 110V DC from the

battery supply on the main high voltage circuit breaker trip coil thus preventing operation

under load.

In some of the new types of disconnecting switches, a mechanical latch has been

provided, which must be operated manually before the opening handle will be released.

As soon as this latch is lifted, it in turn closes a set of contacts which operate the primary

Page 31: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

25

circuit breaker trip coil. Some of the other types have a mechanical key interlocking

system whereby the key must be released by first taking the substation offload.

The three phase disconnects that is in use at 3kV DC substations operate the three

phases together. The switches are mechanically coupled and the majority of these

switches have automatic earthing facilities, while some must be earthed manually.

During switching operation it must be ensured that the mechanical action is operating

freely and that the live and earth contacts are properly made.

2.4.3 Primary circuit breakers

The primary circuit breakers are provided on the primary side of the main transformer for

the purpose of protecting the substation from overloading and from high fault currents.

The breaker are capable of interrupting fault currents of the order of 30 000 ampere.

The circuit breaker tripping mechanism is operated by protection relays which is driven

by current transformers. These relays are provided with contacts which close when the

relay is operated and so make the circuit to energize the 110V main circuit breaker trip

coil. The circuit breaker will be tripped but not locked out.

The primary circuit breaker is also tripped by a battery undervoltage relay. This relay is

normally calibrated to operate when the battery voltage falls below 90V. This prevents

the substation from staying onload while the batteries are not charging. This is very

important because the batteries are the heart of the protection circuits in the substation.

In the case of a SF6 breaker, protection is also provided for gas pressure and air

pressure.

There are basically four types of high voltage circuit breaker drive mechanisms. A

comparison of these is shown in Table 2.3 below.

Page 32: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

26

Table 2.3 : Different types of high voltage circuit breaker drive mechanisms (Spoornet

Engineering Instruction : EP.001 Issue 1)[14]

TYPE USED ON ENERGY

STORAGE

MECHANSIM

STORED

ENERGY

(closed or

charged)

ADVANTAGES DISADVANTAGES

Solenoid Bulk oil circuit

breakers

Nil (open) 1. Simple and

cheap

2. Manual closing

possible

High burden on

battery

Spring 1. Minimum.

Oil

2. SF6

3. Vacuum

Springs O-CO Manual spring

charging possible

Complicated repair

Hydraulic SF6 circuit

breaker

Compressed

nitrogen

O-CO-CO Low burden on

battery

1. No manual closing

possible

2. Hydraulic system

with its associated

problems

Pneumatic SF6 circuit

breakers

Compressed

air

O-CO-CO 1. Low burden on

battery

2. Simple

1. No manual closing

possible

2. Pressure vessel

requires periodic

inspection, or drilling

of tell tale holes

Note : O = open, C = closed

The solenoid type is very simple and straightforward. For closing, a solenoid driving the

closing mechanism is connected directly to the 110V battery. Due to the heavy current

drain from the batteries, repeated closures cannot be attempted because the protection

will operate as soon as the battery voltage drops below 90V. This will cause the

substation to go on lockout and will require a technician to go out and reset the

substation.

In the spring drive mechanism the opening and closing of the circuit breaker is driven by

springs. The springs are wound by means of a small 110V DC motor. The springs can

also be wound using a crank handle. As soon as the breaker is closed, the 110V motor

Page 33: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

27

starts to rewind the closing spring. The opening spring is tensioned during the closing

operation. Starting from a closed position and with the closing spring charged, the

breaker can perform the following sequence without any battery supply:

OPEN -> CLOSE -> OPEN

The hydraulic drive mechanism uses the principal of compressing nitrogen gas (N2). This

is done by trapping the gas in a cylinder (accumulator) and pressurising it with hydraulic

fluid oil working on the other side of the piston. In this way energy is stored in the

compressed nitrogen gas. The hydraulic fluid provides the drive mechanism between the

stored nitrogen and the electrical contacts. The fully charged nitrogen and hydraulic

pressure is in the order of 250 bar and can perform the following sequence of operation:

OPEN -> OPEN CLOSE -> CLOSE OPEN

In the pneumatic drive mechanism the energy is stored as compressed air and the drive

mechanism between the stored energy and the electrical contacts is also compressed

air. To prevent corrosion forming in the air receiver and other working parts and to

ensure smooth operation, the air must be clean and dry. Special precautions are built

into the circuit breaker to ensure that the air is dry by provision of an air drier at the

intake of the air receiver. When this receiver is charged to 10 bar, it has the capacity to

perform the following operations without recharging:

OPEN -> CLOSE OPEN -> CLOSE OPEN

The high voltage breaker in use at Spoornet must be able to interrupt fault currents in the

order of 30 000 ampere on the primary side of the main transformer. Due to the

increasing fault levels of the Eskom system, the new breakers must be faster and able to

withstand levels of up to 5 000MVA.

2.4.4 Main transformer

Main transformers are provided with three phase primary windings with supply voltages

ranging from 11kV to 220kV. The secondary windings usually consist of six phases to

provide 12 pulse full-wave rectification at 3kV DC. Vector groupings are used on the

secondary side with varying voltages to obtain the required output voltages. Leonard

Page 34: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

28

Bobrow describes the vector theory in his book, Fundamentals of electrical

engineering.[20]

The standard for main transformers is a 4.5MW unit with a star primary and with two

secondary windings. The secondary windings are connected either as

• two extended deltas, each secondary phase shifted either 150 plus or 150 minus

relative to the primary (ASEA transformer) or

• a star and a delta secondary (GEC) (EP.001 Issue 1).[14]

These transformers are interchangeable provided, that the secondary voltages are the

same. The output voltage of each secondary phase is approximately 1220V, which,

when rectified and connected in series, will give low load voltage of approximately

3150V.

A 5-tap position tap changer is provided on the primary winding of the transformer to

adapt to the specific utility supply voltage. This tap changer can only be operated under

no-load conditions. Therefore the tap changer handle should be kept locked to prevent

operation under load. The tap switch should always be left in a position to give a low

load (100 amperes) voltage of about 3150V. Otherwise the tap switch should be left in a

position giving a DC voltage as close as possible to this value.

On both types of transformers, one secondary winding is rated at 50kVA more than the

other, as the 50kVA auxiliary transformer is fed off the one secondary winding of the

main transformer. This auxiliary supply is used inside the substation to provide power to

the battery charger and other low volt equipment inside the substation. It is also used

during the calibration of the switching equipment.

The main transformer is normally provided with the following :

• conservator tank with a silica-gel dehydrating breather

• a dial type thermometer for registering top oil temperature

• a Buchholz relay

• two drain cocks and an oil sampling cock.

Page 35: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

29

Despite conventional wisdom, transformer life is a controllable factor and should not be

less than fifty years [10]. A transformer consist of a laminated iron core, paper insulation

and windings in a tank filled with liquid insulation. The paper provides mechanical

(structural insulation) and dielectric strength. Transformer oil protects the paper

insulation, is an insulation medium and coolant and provides the means to monitor

transformer condition and operation.

Some of the stresses that a transformer is exposed to are short circuit stress, 50Hz

excitation, lightning and switching surges. Most of the transformer failures are due to a

failure of some sort in the insulation system. The life of a transformer greatly depends on

the life of the insulation system inside it. If the solid insulation is properly maintained, one

should get more than fifty years of reliable transformer operating life.

Being essentially static devices, transformers require relatively little maintenance. It is

very important, though, to have good maintenance programme. This must allow for the

periodic check on the condition of the transformer so that deterioration of any kind can

be detected in time and corrected before it gets out of hand. Deterioration of oil and

insulation within the transformer is a function of moisture, time and temperature. These

transformers normally are subjected to relatively short load currents and have a low

average oil temperature. In the past it was considered adequate to test oil only every

four years. But due to the age of the transformers (some as old as 30 years) and the

increased demand by the heavier trains, it became necessary to rethink the testing

intervals. As soon as the temperature consistently starts rising above 600C, testing must

be done more frequently. For every 80C rise in temperature the remaining life of the

paper insulation will be halved. [9][10]

Transformer oil dissolves more moisture at higher temperatures than at lower

temperatures. If the oil and water combination is cooled, the water will precipitate out

and be absorbed by the insulation. The temperature profile in most transformers is not

uniform. Most of the aging will occur in the warmest regions of the transformer, like near

the top of the windings. More than 95% of transformer water is in the insulation material.

An operating transformer should have no more than 1% moisture at dry weight

(M/DW).[10] The paper in the transformer acts like a filter, attracting the products of

Page 36: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

30

decay through adsorption. If it is not cleaned, the decay products will eventually destroy

it.

The oxidation of the oil causes acids and asphalts to form, which form sludge deposits

inside the transformer on the windings and the core. This will influence the adequate

cooling of the transformer and will in turn cause an increase in the average temperature

of the transformer. Combined with the fact that trains are running more and more

frequently this will lead to a shortened lifespan for the transformer. It will also cause a

breakdown in the insulation between the windings. The transformer will last ten times

longer at the same temperature if oxygen is kept below 300 parts per million. [10][22]

Experience has shown that when new oils of different kinds are mixed, the properties of

the mixture will not be better than those of the lowest grade. When replacing oil which

has been drawn off or leaked, it is satisfactory if the oil to be added is dry and pure, and

of at least the same quality as the bulk oil (EP.001 Issue 1). [14]

It is very important that the correct procedures are followed and correct containers used

for oil sampling. The oil temperature must be recorded as samples are taken to measure

the moisture content and determine the wetness of the solid insulation. Oil test results

are used to classify the oil. The oil classification, the results of the Dissolved Gas

Analysis and the relevant electrical tests will determine the correct oil treatment

procedure. Transformer oil can be given practically unlimited life.

2.4.5 High Voltage Current Transformers

The high voltage current must be measured to be able to monitor the system and detect

any faults or overloads. It is also necessary to measure the energy that is used for billing

purposes. The current is measured with the high voltage current transformers.

The signal from the current transformers is fed into a protective relay which compares it

with a pre-set value and if this value is exceeded, a further signal will be sent to the

primary circuit breaker to trip. For measuring purposes the signal is fed into a meter that

belongs to the electricity supply authority. This authority in most cases is Eskom.

Page 37: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

31

Separate current transformer windings are used for protection and metering purposes

because the requirements differ. These windings are housed in the same unit. Because

the current exceeds 100A, we make use of the toroidal current transformer type. It

consists of a laminated ring-shaped core that carries the secondary winding. The primary

is simply the conductor running into the main transformer that passes through the centre

of the ring. The position is not that important, just as long as it passes through close to

the centre.

The ratio of the transformer is equal to the number of windings in the secondary. The

nominal secondary current is usually 5A, irrespective of the primary current rating (Wildi,

2000). [23] This means that a transformer having a 1000A/5A ratio has 200 turns on the

secondary winding.

In new designs the current transformers are mounted separately. This prevents the

withdrawal of the main transformer or circuit breakers in the event of failure of the current

transformer.

2.4.6 High voltage surge arresters

Surge arresters are installed on the transmission lines to protect equipment against

overvoltage surges. Lighting surges are generally caused both by direct strikes on, as well

as indirect lightning strikes near the transmission lines. The arrester is designed to block

the progress of a voltage surge moving through a system. It accomplishes this objective by

drawing sufficient current to dissipate the energy associated with the surge. [7][24].

High voltage surge arresters are always provided on the high voltage busbar feeding the

substation outdoor yard. One of these arresters is placed on each phase and must

protect the equipment inside the substation from surges on the Eskom side of the line.

Smaller surge arresters are also mounted on the track switch structure on the 3kV side

between the overhead track equipment and earth. The purpose of these arresters is to

serve as protection against any surges that might come from the track side.[14][21]

Page 38: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

32

The 3kV feeder cables that run from the substation to the track switches are also

protected against surges through the 4 micro farad capacitors that is mounted between

the negative and the cables. The capacitor stores some of the energy from the surge

and releases it afterwards. This gives a smoothing effect on the surge.

The surge arresters should be located as close as possible to the equipment that must

be protected. The arresters must be connected to earth by means of an earth spike that

has a resistance smaller than 5 ohm to earth (EP.001 Issue 1). [14].

The two basic types of surge arresters used in the traction substations are the silicon

carbide (Si C) and Zinc Oxide (Zn O) arresters. The last type is the newer design that is

currently used. These lighting arresters are designed to clip off all voltage peaks that

exceed a specified level of 400kV. This means that all equipment in the substation must

be designed to withstand an impulse voltage of 500kV. Due to aging and damage to the

arrester it will not function to its designed specification. [7] After some time it will not limit

the voltage to under 500kV and a big enough surge will then cause major damage to the

substation.

2.4.7 Batteries

Batteries are installed at substation for control and protection purposes. The batteries form

the heart of the substation. Without proper operating batteries there will be no protection in

the substation. Running a substation without protection is almost impossible. Due to the

design of the substation to fail to a safe mode, a loss in the 110V supply from the batteries

will cause a loss of the main power supply to the overhead track equipment.

The battery supply is used for various purposes in the substation. It is used for closing

and tripping the primary circuit breaker, as a supply to the protection relays, for

emergency lighting inside the substation and as a closing and holding coil supply for the

high speed circuit breakers.

A typical battery bank will consist of 53 cells of 2.2V each. The batteries are rated in

terms of the voltage and ampere-hour capacity. The latest capacity for most lead acid

batteries in use is 100 ampere-hours. [14][21]

Page 39: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

33

2.4.8 Rectifier

The six phase full wave bridge rectifier is the basic design on most new traction

substations. Two 1.5kV 6 pulse units, phase displaced by 300 are connected in series to

make up a 3kV 12 pulse unit.

Multiple phase 12 pulse rectification is preferred because of the very much smoother DC

output voltage and less harmonic noise.

In the actual design of the power rectifier, single diodes are seldom used. The required

voltage and current rating can be more economically obtained by using lower rated

diodes in series and in parallel.

The rectifier is situated inside the substation building and behind protective fencing to

prevent accidental shock. The entry to this enclosed bay is controlled by the interlocking

system in the substation.

Appendix 4 contains a copy of the Engineering Instruction EP.001 Issue 1 [14] that

contains detail information on the design of rectifiers for the use in 3kV DC traction

substations.

2.5 Summary

The chapter started with a discussion of the different types of traction systems that are in

use and explained the advantages and disadvantages of each system. The discussion

continued on the entire 3kV system and then the focus moved to the substation itself.

The important concept that must be understood is that all the components function together

to enable the system to provide 3kV DC power to the locomotive. More detail could have

been provided on each component that is a system in itself. It is not necessary to analyse

everything in detail because the data that is available on the failures are only at the level as

discussed in this chapter.

Page 40: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

34

3 RELIABILITY STUDY OF A 3KV DC SUBSTATION 3.1 What is reliability? In the previous chapter a good understanding was created of how the 3kV DC traction

substation works. With this information, the ways in which the substation fails, the effects of

failure, and aspects of design, manufacture, maintenance and use which affect the

likelihood of failure, can now be described.

The task of the engineer is to design and maintain the product so that the failed state is

deferred (Covino, 2000). [25]. Covino et al. stated that reliability is one of the key factors

in product quality. According to British Standard, BS4778, failure means the termination

of the ability of an item to perform a required function. A study of the function of the 3kV

DC substation is necessary before the reliability can be investigated. According to

BS4778 [26] the reliability of a substation is the ability to perform a required function

under stated conditions.

According to Wolter J. Fabrycky [27] reliability as described in his book, Systems

Engineering And Analysis, can be defined simply as the probability that a system or

product will perform in a satisfactory manner for a given period of time when used under

specific operating conditions. This definition stresses the elements of probability,

satisfactory performance, time and specified operating conditions.

O’Connor described reliability as the probability that an item will perform a required

function without failure under stated conditions for a stated period of time. This definition

contains the same elements, namely probability, required function, stated conditions and

time. [28]

3.1.1 Probability

Probability, the first element in the reliability definition, is usually stated as a quantitative

expression representing a fraction or a percent specifying the number of times that an

event can be expected to occur in a total number of trials. For example, if the probability of

survival of an item for 80 hours is 0.75 (or 75%), it indicates that the item can be expected

to function properly for at least 80 hours 75 times out of a hundred.

Page 41: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

35

When there are a number of supposedly identical items operating under similar

conditions, it can be expected that failure will occur at different points in time. Failures

are therefore described as probabilistic. For example, the 3kV system consists out of

many substations that are feeding into it. These substations have similar equipment

inside which operate under similar conditions. Failure of the equipment will not occur at

the same time. Probabilistic reliability is described in paragraph 3.2. [27]

The fundamental definition of reliability is heavily dependent on the concepts derived

from probability theory. In the FMECA done in this chapter, probability indicates the

frequency at which the incidents occur. A probability of 50% means that the incident

occurs at a frequency of once every two months. Monthly periods were taken to

calculate the probability.

This is adequate for the conclusions that had to be reach after the analysis. Once the

major components of the substation were identified, the most important once had to be

highlighted to proceed with further analysis.

3.1.2 Satisfactory performance

The second element in the reliability definition is satisfactory performance, indicating that

specific criteria must be established, which describe what is considered to be

satisfactory. It can also be described as the required function of the item in the system. A

combination of qualitative and quantitative factors defining the functions that the system

or product are to accomplish, usually presented in the context of the system

specification, are required. For the 3kV DC traction substation the basic requirement is to

provide a regulated supply of 3000V DC to the traction system. [27]

The satisfactory performance of any piece of equipment or component can, therefore, be

described as achieving the delivery requirement that it was designed for. In other words,

the system delivers what is expected from it.

Page 42: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

36

3.1.3 Time

The third element, time, is one of the most important because it represents a measure

against which the degree of system performance can be related. The time parameter

must be known in order to assess the probability of the system to complete a task or

given function as scheduled. Of particular interest is the ability to predict the probability

of an item operating without failure for a designated period of time. In this chapter, all

data were analysed against a period of one month as described in the definition for

probability.

Reliability can also be defined in terms of mean time between failure (MTBF) or mean

time to failure (MTTF), making time critical in reliability measurement. [27] MTBF is the

average time between failures and MTTF is the average time until the first failure.

If the time is not probably defined in a study of this nature, it will create confusion on the

perception of reliability. It is important to remember that reliability was defined earlier as

the ability of the equipment to perform according to expectation. If the equipment

performs as expected, the operator would perceive it as being reliable.

Page 43: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

37

3.1.4 Specified operating conditions

The specified operating conditions under which a system or product is expected to

function constitute the fourth significant element of the reliability definition. These

conditions will include environmental factors, such as the geographical location where

the system is expected to operate, the operational profile, temperature cycles, humidity,

vibration, shock, and so on. [27] The input from the operator is one of the factors

influencing the condition as mentioned. It cannot be expected to operate a system out of

the designed condition parameters. In substations, according to the fault list on annexure

10.4, and the analysis done on the impact of seasonal change in chapter 4 and 6, the

environmental condition plays an important role.

These factors play a very important role in the reliability of the 3kV DC substation.

Coastal and inland substations operate under very different environmental conditions.

Humidity and temperature play a major role in calculating reliability. Being close to the

railway lines, the equipment is also exposed to different vibration and shock factors than

in other applications. Some substations work harder than others due to the topography

of the environment. Trains need more current to pull a load over an incline and less

when coming down on the other side. A substation situated close to such place will be

exposed to bigger sudden changes in the amount of current being drawn from it, than

one that is on a flat piece of track. [15]

The four elements discussed above will be considered when determining the reliability of

a typical 3kV DC substation later in this chapter.

3.2 Probabilistic reliability

O’Connor discussed the concept of reliability as a probability involving the use of

statistical methods in his book, Practical Reliability Engineering. [28]

When reliability is 100 percent it means that the product will never fail and when it is zero

it means that it will never work. For practical purposes a hammer might be 100% reliable

if used for driving in nails, but would have zero reliability if used to stop a train. If used to

break rocks, its reliability for a given period of time might have some value between 0

Page 44: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

38

and 100 percent. This is for illustration only because it is impossible to achieve 100% or

0% reliability.

When planning maintenance, the engineer, try to ensure 100% reliability, but experience

showed that it does not always materialise. Therefore reliability statistics are usually

concerned with probability values which are very high. Quantifying such numbers brings

increased uncertainty, since we need correspondingly more information. More

uncertainty is also introduced because reliability is also about people who maintain and

people who use the product. The varying environments in which substations must

operate also introduce great uncertainty when calculating the reliability.

The analysis of failures by different engineers will also cause uncertainty because of the

subjective nature of people. Questions like if a failure should be counted or not and what

the cause was will influence the statistical data being captured.

Reliability can be specified as the mean number of failure in a given time (failure rate), or

as MTBF for items that can be repaired and returned to use, or as the mean time to

failure (MTTF) for items which are not repaired but replaced. For items that can be

repaired it is often assumed that the failures occur at a constant rate, in which case the

failure rate λ = (MTBF)-1. Due to the constant usage of power from the substation it will

be assumed to be true for the major components. [28][29]

The application and interpretation of the statistics in the case of a 3kV substation are

less straightforward than in, for instance, public opinion polls or measurement of human

variations such as height, length and mass. The biggest problem with the statistics of

failures in substations is the amount of data that is available. There will not be nearly as

much data as in the other cases, like human study. Data is very expensive and variability

is hard to quantify. The integrity of the data is also very dependant on the experience

and knowledge of the person capturing it. To date, the human interface in the capturing

of data played a major role in Spoornet. This study introduces a technical interface after

looking at the human role.

It is also difficult to apply statistical theories to reliability calculations due to the fact that

variation is a function of time and time-related factors such as operating cycle and

Page 45: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

39

seasonal changes. Different maintenance periods cause different inputs into the

condition of the substation. This has a major influence on the reliability of the substation.

Maintenance engineering is primarily concerned with change for the better. It does not

help if the reliability is not increased during maintenance. Therefore the data from any

past situation cannot be used to make good forecasts of the future behavior, without

taking into account changes that took place to increase reliability. These are the realities

that the maintenance engineer is faced with on a daily basis.

This provides a big challenge to the engineer, because of the fact that his statistical data

is influenced by various actions taken. By making simple, but intelligent, decisions on

maintenance inputs, a big change in the reliability can take effect.

3.3 The reliability function

The reliability function is derived by Blanchard and Fabrycky, System Engineering and

Analysis, 1981. [27]

The reliability function is determined from the probability that a system will be successful

at least for some specified time t. The reliability function, R(t), is defined as

R(t) = 1 – F(t) (3.1)

where F(t) is the probability that the system will fail by time t. F(t) is basically the failure

distribution function or unreliability function. If the random variable t has a density

function of f(t), the expression for reliability is

R(t) = 1 – F(t) = ∫∞t f(t) dt (3.2)

If the time to failure is described by an exponential density function, then

f(t) = 1/θ e-t/θ (3.3)

where θ is the mean life and t the period of interest. The reliability at time t is

Page 46: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

40

R(t) = ∫∞t 1/θ e-t/θ dt = e-t/θ (3.4)

Mean life (θ) is the arithmetic average of the lifetimes of all items considered, which for

the exponential function is MTBF. Thus

R(t) = e-t/M = e-γλt (3.5)

where γ is the instantaneous failure rate and M the MTBF.

If a component has a constant failure rate, the reliability of that item at its mean life is

approximately 0.37. Thus, there is a 37% probability that the system will survive its mean

life without failure. Mean life and failure rate are related as

γ = 1/θ (3.6)

Figure 3.1 illustrates the exponential reliability function, where time is given in units of

t/M. The illustration focuses on the reliability function for the exponential distribution,

which is commonly used in many applications.

Figure 3.1 : Reliability curve for the exponential distribution. (Benjamin S. Blanchard,

Systems Engineering and Analysis, 1981) [27]

Page 47: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

41

The failure rate is the rate at which failures occur in a specified time interval. The failure

rate per month is expressed as

λ = Number of failures / total operating months (3.7)

The failure rate may be expressed in terms of failures per month, percent failures per 12

months or failures per million hours. In the case of a 3kV DC traction substation the

failure rate was best expressed as failures per month. For the analysis in this chapter,

the rate was taken as the number of months during which events take place.

The relationship between the failure rate and the MTBF is

MTBF =1/λ (3.8)

The failure rate is important when determining corrective maintenance actions. All

system failures must be addressed to include failures due to primary defects, failures

due to manufacturing defects, failures due to operator defects, and so on (Blanchard,

1990).

3.4 The Bathtub curve

Figure 3.2 shows a curve indicating the relationship between failure rate and time.

Figure 3.2 : Typical failure-rate curve (Benjamin S. Blanchard, Systems Engineering and

Analysis, 1981). [27]

Page 48: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

42

This curve may vary considerably depending on the type of component inside the

substation. Because of all the activities that can influence the reliability of a substation,

for example the replacement of certain defective components, this curve will not be

constant.

During the procurement process, companies need to take this into consideration. The

analysis later in the chapter can be used to provide important guidelines to ensure that

reliability is taken into account when purchasing equipment or components. It is not

always true that money can buy reliability. It is important to look at the design

specifications and make sure that the reliability will not be compromised due to utilisation

without the design parameters.

By examining the curve it can clearly be seen that it has a bathtub shape with three

distinct regions. The first region corresponds to early failures during debugging. As the

debugging rate continues, the failure rate decreases. The second region corresponds to

the useful lifetime of the component where the failure rate remains quite constant and

the failures are very nearly random. The third region corresponds to the wearout or

fatigue phase during which the failure rate increases rapidly with time. These three

regions are easily distinguishable in the plot of the failure rate function. (Ramakumar,

1985) [6]

3.5 Reliability component relationships

Given the basic reliability function and the measures associated with failure rate, it is

appropriate to consider their application in series networks, parallel networks and

combinations of these. These networks will be used in the reliability block diagrams and

static models for the analysis of the 3kV DC traction system. The development of the

reliability block diagram for the traction substation will evolve directly from the functional

flow diagrams for the system as described in chapter 2.

Page 49: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

43

3.5.1 Series Networks (Benjamin S. Blanchard, Systems Engineering and Analysis, 1981) [27]

The series relationship is probably the most commonly used and is the simplest to

analyse. Most of the major components in the 3kV DC substation are related this way. A

basic series network is illustrated in Figure 3.3. In a series network all components must

operate in a satisfactory manner if the system is to function properly.

Figure 3.3 : A series network

Assuming that a system includes subsystem A, subsystem B and subsystem C, the

reliability of the system is the product of the reliabilities for the individual subsystems

expressed as

R = (RA)(RB)(RC) (3.9)

3.5.2 Parallel Networks (Benjamin S. Blanchard, Systems Engineering and Analysis, 1981) [27]

A pure parallel network is one where a number of the same components are in parallel

and where all the components must fail to cause total system failure. A parallel network

with two components is illustrated in Figure 3.4. Although not exactly the same, 3kV DC

substations are arranged in parallel on the system as in Figure 2.1. This arrangement is

not possible with AC traction systems because the AC cannot be exactly in phase, which

is not a problem with DC.

Figure 3.4 : A parallel network

A B C Input Output

A

B

Input Output

Page 50: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

44

If components A and B are identical, the system will function if either A or B, or both are

working. The reliability is expressed as

R = RA + RB – (RA)(RB) (3.10)

3.5.3 Combined Series-Parallel Networks (Benjamin S. Blanchard, Systems Engineering and Analysis, 1981) [27]

Various levels of reliability can be achieved through the application of a combination of

series and parallel networks. Consider the two examples illustrated in Figure 3.5.

The reliability of the first network is given by

R = (RA)(RB + RC - RBRC) (3.11)

For the second network the reliability is given by

R = (RA + RB – RARB)(RC + RD – RCRD) (3.12)

(a)

B

C

Input Output

A

Page 51: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

45

(b)

Figure 3.5 : Some combined series-parallel networks

Under certain conditions in system design it may be necessary to consider the use of

redundancy to enhance reliability by providing two or more functional paths in areas that

are critical for successful functioning. This is accomplished through the use of parallel

networks. In Figure 3.5(a) subsystem B and subsystem C can be used to illustrate the

redundancy of the system if they are considered to be exactly similar. In this case it will

be called duel redundancy because there are two backup systems that are performing

the same function. For the system to fail either subsystem A or subsystem B and

subsystem C must fail.

3.6 Block diagram analysis of a 3kV DC substation

The failure logic of a system can be shown as a reliability block diagram (RDB), which

shows the logical connections between components of the system. The RDB is not

necessarily the same as a block schematic diagram of the system’s functional layout.

The block schematic diagram of a 3kV DC traction substation is shown in Figure 2.4.

Keeping that in mind, the RDB for a traction substation is shown in figure 3.6. [15]

C

Input Output

A

D B

Page 52: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

46

Figure 3.6 : Reliability block diagram of a 3kV DC traction substation. [15]

Table 3.1 : The key to figure 3.6

Supply AC Supply from the utility company

AC Disconnects Disconnect supply from substation

PCB Primary Circuit Breaker

Protection All protection circuits in substation

HSCB High Speed Circuit Breaker

OHTE Overhead track equipment

As can be seen in Figure 3.6, all the subsystems are in series. The subsystem that is

illustrating the protection is actually functioning alone. Each subsystem consists of many

components or even subsystems themselves, but to discuss everything in detail is

beyond the scope of this study. What is very important to notice is that failure of any one

of the major subsystems will cause the substation to fail. The effect that failure at

different levels will have, will be discussed during the analysis of the failures later on.

Surge Arrestors

Measurements

Voltage Transformer

Protection

Current Transformer

OHTE

Track Switch

HSCB DC Earthleakage

Rectifier

Transformer

PCB

AC Disconnects

Supply

Page 53: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

47

To improve the reliability of the 3kV system, the arrangement of substations is illustrated

in Figure 3.7. Note that it is a parallel arrangement and that there will still be a supply of

3kV DC to the overhead equipment if one substation fails.

Figure 3.7 : Reliability block diagram of a 3kV DC traction system.

If substation B fails, substations A and C, which are the adjacent substations to B, will

still provide 3kV DC to the system. If, for example, substations A and B should fail, the

system will fail. The 3kV DC system can therefore be described as a dual redundancy

system.

Since almost anything is possible in the engineering world, it can happen that two

adjacent substations fail. It can happen that two substation are on the same supply

circuit from the utility company and that the supply fails. In the unlikely event of

something like this happening, there still is an alternative source of traction, namely

diesel locomotives. This is, however, a very expensive option and it must be insured that

it is implemented as little as possible.

3 2 1

4 5 6

Page 54: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

48

3.7 Failure mode, effect and criticality analysis

The FMECA (failure mode, effect and criticality analysis) is performed to identify possible

problems that could develop as a result of system failures. The FMECA is oriented to

equipment and does not cover the effects of human actions on equipment. The objective

is to determine the ways in which equipment can fail, and the effects of such failures on

other elements of the system, (Benjamin S. Blanchard, Systems Engineering and

Analysis, 1981). [27] Failure effects can be considered at more than one level, for

example, at subsystems or the entire system.

FMECA can be based on a hardware or a functional approach. In the hardware

approach actual hardware failure modes are considered, for example a resistor that goes

open circuit or a bearing seizure. The functional approach is used when hardware items

cannot be uniquely identified, (O’Connor, Practical reliability engineering). [28] A

combination of the two approaches can also be used.

To perform an effective FMECA, a thorough knowledge of the system is needed. The

first step therefore is to obtain all information available on the system. The information in

the previous chapters should be enough to do a good analysis on the 3kV DC system.

The functional block diagram in figure 2.4 and the reliability block diagram in figure 3.6

and figure 3.7 will be used for the FMECA of a 3kV DC system. The data captured in

annexure 10.1 and 10.4 was used to calculate the probability of the fault occurring.

An FMECA can be performed from different viewpoints, such as safety, mission,

success, availability, repair cost, failure mode, etc. Although things like safety and cost

are very important for the maintenance of substations, the availability will be considered

during this analysis of the 3kV DC system.

The required outcome must be considered when deciding how to approach the FMECA.

For the purpose of this study, the important components had to be identified. Which

components failed frequently, what is the effort required to repair and what influence

does such a failure have on the system. The substation forms part of a bigger system

and should not be considerd and analysed in isolation. Consideration was given to the

effect that the failure would have on the entire system.

Page 55: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

49

The FMECA must include the following information:

1. Item identification – Identify each significant system component that is likely to fail.

2. Description of failure modes – Define the most probable modes of failure for each

identified item. Failure modes are related to the operational modes that the system

experiences through the performance of its designed function.

3. Cause of failure – The anticipated cause of failure should be described for each

instance.

4. Possible effects of failure – Describe the most probable effects as a result of each

failure. Effects may range from complete system destruction to partial system

operation.

5. Probability of occurrence – Through statistical means, estimate the probability of

failure occurrence. Probabilities of occurrence may initially evolve from experience

factors or through reliability allocation and will be based on reliability prediction data

as more date is captured as the system progresses.

6. Criticality of failure – Failures may be classified in terms of criticality in any one of

four categories, depending on the defined failure effects as follows.

• Minor failure – Any failure that does not degrade the overall performance and

effectiveness of the system beyond acceptable limits.

• Major failure – Any failure that will degrade the system performance and

effectiveness beyond acceptable limits but van be controlled.

• Critical failure – Any failure that will degrade the system beyond acceptable limits

and could create a safety hazard if immediate corrective action is not taken.

• Catastrophic failure – Any failure that could result in significant system damage, such

as to preclude functional accomplishment, and could cause deaths and personnel

injuries.

Page 56: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

50

7. Possible corrective action or preventive measures – Describe the action than can be

initiated to reduce the probability of failure occurrence or to minimize the effect of

failure, (Benjamin S. Blanchard, Systems Engineering and Analysis, 1981). [27]

In Table 3.2 a thorough FMECA was done on the major components of the 3kV traction

system. Because of a lack of data, most of the information follows from interviews with

two supervisors with forty-two years of experience amongst them and one electrical

engineer with twenty-one years of experience. Some of the information was double

checked with the data given in annexure 10.1 and 10.4, which contains the inscriptions

of logbooks taken from six substations over a period of one year and data collected from

the information system used by Spoornet to capture all maintenance effort on their

infrastructure. [15]

Some very important observations can be made from the FMECA done in Table 3.2 that

will help to identify areas of concern. Each of the items identified can be broken down

into smaller components and a FMECA can be done in greater detail but for the purpose

of developing a condition assessment, this is good enough.

The first observation made was that a lack of proper data prevented the accurate

calculation of the probability of occurrence. The values in Table 3.2 had to be

approximated on the basis of pure experience. It is imperative for good engineering

decisions on maintenance that a good record must be kept of all failures that occurred in

the system. These records must include the type of fault, cause of the problem, date and

time when it happened and how long it took to repair. This is the basic information

needed for most statistical analysis.

Secondly, it is important to note that the 3kV traction system is not an isolated system.

Adjacent systems, which may not even belong to the same company, have a big

influence on the availability. The supply from the utility company is one of these systems.

The substation cannot perform its desired function if there is no supply. This fact just

complicates the reliability calculations for the substation. From the FMECA experience

has proven that the supply can be quite unreliable in some cases.

Page 57: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

51

One of the most important conclusions from this analysis, thirdly, is the importance of the

protection circuits that must minimise damage in the event of a failure. Note that it is not

always possible to completely prevent damage, but the ultimate goal is to have as much

control as possible over the amount of damage. The protection circuits must isolate the

fault to prevent damage to other components. In nearly all the identified items one of the

causes noted was the failure of protection. When the protection actually failed the

criticality of the failure increased to catastrophic. It is clear that the testing of protection

circuits must have a very high priority in the routine maintenance of a substation.

Human error plays a major role in the reliability of this system. All corrective actions were

based on a human effort that must be put into the maintenance. If this effort is not up to

standard and according to specified standards it can increase the probability of failure.

Human safety is one of the biggest consideration in some of the protection features

inside a substation. The interlocking on the AC disconnects form part of an interlocking

system protecting the technician that must work on the equipment. It is designed to

prevent access to potentially dangerous areas by the power to be switched off before

entrance to the enclosure can be gained.

Page 58: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

53

Table 3.2 : FMECA for a 3kV DC traction system

Item

Identification

Function Failure modes Cause Effects of

failure modes

Probability of

occurrence

Criticality of

failure

Corrective

action

Supply Supply the

substation with

88kV/132kV AC

Total Power

failure

Phase failure

Voltage spike

Voltage drop

Theft, loose

connection, etc.

Theft. Loose connection, etc.

Surge caused by nearby

switching on the system or

lighting

Shortage on

national grid.

Switching by

nearby industries on

the network.

Substation will

not have supply

and will not be able to work at

all.

Unbalanced load on the

Transformer

which can cause serious

damage if protection is

not working

properly.

Damage to substation

equipment

Due to energy

demand this can cause

sudden spike in

current drawn by the

substation.

Approx. 0.02

Approx. 0.04

Approx. 0.5

Approx. 0.3

Major failure

Critical failure

Major failure

Critical failure

The utility

company must

make sure that there is a ring

feed available.

Protection against phase

failure must be

working properly and

tested regulary.

Ensure surge arrestors are in

proper working condition.

Ensure

operational testing and

calibration of

undervoltage relay.

Page 59: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

54

Item

Identification

Function Failure modes Cause Effects of

failure modes

Probability of

occurrence

Criticality of

failure

Corrective

action

Surge Arrestors Protect equipment

inside

substation against any

power surge from the supply

Short circuit

Open circuit

Tracking of current

Age, external damage, over

current,

lightning strike

Lightning strike, leakage of

isolating material,

deterioration of

isolating layers

External dirt on porcelain,

damage to

porcelain insulator due to

vandalism or direct lightning

strike

Short circuit directly to

ground. Supply

will fail.

Protection against any

surge will not be possible.

Current leakage can cause

protection to

operate and will switch off the

substation.

Approx. 0.001

Approx. 0.01

Approx. 0.02

Major failure

Minor failure

Major failure

Proper cyclic testing of the

capacitive

characteristics.

Proper cyclic testing of the

capacitive characteristics.

Visual inspections for

damage and

frequent cleaning of the

porcelain.

Page 60: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

55

Item

Identification

Function Failure modes Cause Effects of

failure modes

Probability of

occurrence

Criticality of

failure

Corrective

action

AC Disconnects Used to isolate substation from

supply

Broken insulators

Opening Mechanism

failure

Interlocking

failure

Hot connection

Vandalism, lightning strike,

water in the

base plates causing

cracking

Rust, broken operating

handle, rotating

bearing broken

Broken keys,

mechanism not functioning

properly, loose connection on

electrical protection from

opening the

disconnects under load.

Dirty contacts,

contacts not

aligned correctly

Disconnects will not close or

open at all.

No operation will be possible.

Safety risk to

operator. Disconnects can

be damaged due to the

operating of it under load.

Contacts will

disintegrate and

conductors will be burnt.

Approx. 0.01

Approx. 0.015

Approx. 0.008

Approx. 0.02

Critical failure if occurring while

in open position

Minor failure

when closed

Critical failure if occurring while

in open position

Minor failure

when closed

Major failure

Critical failure

Visual inspection and

immediate

action when needed

Frequent corrective and

preventive

maintenance.

Visual and

mechanical inspection

before operating

commences.

Frequent

maintenance

and visual inspections for

any signs of over heating.

Page 61: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

56

Item

Identification

Function Failure modes Cause Effects of

failure modes

Probability of

occurrence

Criticality of

failure

Corrective

action

Voltage Transformer

Monitor the voltage on the

incoming

supply

Open circuit

Short circuit

Loose connection,

burnt wires

Burnt wires,

over current

No measurement

possible

No

measurement possible

Approx. 0.002

Approx. 0.002

Minor Failure

Minor Failure

Frequent testing

Frequent

testing

Measurements Take

measurement for billing and

protection

No

measurement

Incorrect

measurement

Damage to

measuring electronics or

faulty feed from voltage

transformer

Incorrect feed

from voltage transformer

No

measurements available for

billing

Incorrect

readings and calculations for

billing

Approx. 0.001

Approx. 0.005

Minor Failure

Minor failure

Calibrate and

test frequently. Compare

measurements to previous

ones

Frequent

calibration and testing

Page 62: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

57

Item

Identification

Function Failure modes Cause Effects of

failure modes

Probability of

occurrence

Criticality of

failure

Corrective

action

PCB (Primary circuit

breaker)

Protection switch between

supply and

substation

Not opening

Not closing

Current

Leakage to earth

External

damage

Operating mechanism

faulty, faulty

opening rely, protection

circuits not working

properly

Operating

mechanism faulty, faulty

Closing rely, protection

circuits not

working properly

Dirty porcelain

or breakdown of isolating

material and oil

Vandalism,

lightning, water

Substation will suffer damage

because PCB

did not open under fault

conditions

Substation off

load because there is no

supply

Damage to

breaker and possible trip of

substation if

leakage is detected by AC

earth leakage

Current leakage

and possible disintegration

Approx. 0.001

Approx. 0.001

Approx. 0.002

Approx. 0.0005

Catastrophic failure

Critical failure

Critical failure

Catastrophic

failure

Testing, maintenance of

breaker and

protection circuits

Testing of

protection circuits and

maintenance

Testing of oil

and isolation, frequent

cleaning of

porcelain

Do frequent

visual inspections

Page 63: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

58

Item

Identification

Function Failure modes Cause Effects of

failure modes

Probability of

occurrence

Criticality of

failure

Corrective

action

Current Transformer

Monitor the current into the

main

transformer

Short Circuit

Open circuit

Incorrect feed

Damage due to overcurrent.

Lightning, dry

without oil

Faulty windings, loose

connections

Loose

connection, damage due to

lightning or any other surge

No protection on equipment,

can cause

serious damage to transformer

if mounted in it.

Incorrect feed to protection

circuits

Protection

circuit will receive

incorrect feed and will not

operate properly

Approx. 0.001

Approx. 0.015

Approx. 0.002

Catastrophic failure

Catastrophic failure

Catastrophic

failure

Make sure that transformer is

tested

frequently and earthed

properly

Frequent testing of

transformer and

protection circuits. Install

to fail to safe mode

Testing and calibration of

protection. Do frequent ratio

tests on the current

transformer

Page 64: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

59

Item

Identification

Function Failure modes Cause Effects of

failure modes

Probability of

occurrence

Criticality of

failure

Corrective

action

Protection Circuits that must protect

the substation

from damage in the event of

any failure that might result in

major damage

Incorrect operation

No operation

Feed from

current transformer not

correct

Failure of DC

Eartleakage

Fault Protection rely failure

Feed from current

transformer not

correct, faulty rely, latching

mechanisms not functioning

Faulty rely,

battery supply

not working properly, No

feed from current

transformer

Loose

connection, faulty current

transformer

Loose

connections

Incorrect calibration

Not all equipment is

connected

Line faults are not isolated

Damage to substation due

to fault not

being isolated fast enough

Damage to

substation due

to fault not being isolated

fast enough.

Damage to

substation due to fault not

being detected

DC fault not

isolated before damage to the

substation occur.

Approx. 0.001

Approx. 0.001

Approx. 0.001

Approx. 0.002

Approx. 0.01

Catastrophic failure

Catastrophic

failure

Catastrophic

failure

Catastrophic

failure

Catastrophic failure

Monthly functional

testing, annual

calibration

Monthly

functional

testing, annual calibration.

Annual

calibration and frequent testing

Weekly

functionality testing.

Annual

calibration by

testing technician

Same as for DC earthleakage

Page 65: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

60

Item

Identification

Function Failure modes Cause Effects of

failure modes

Probability of

occurrence

Criticality of

failure

Corrective

action

Main Transformer

Step down of the supply

voltage to

1500V

Low oil level

Bucholtz rely operation

Over temperature

Short circuit

Leakage at gaskets

Gas formed inside the

transformer due to some kind of

fault like arcing

or low oil level.

Extensive arcing inside

transformer,

over current drawn due to

fault in system

Isolation material got

damaged due to water or

arcing, Isolating properties of

the oil not up to

standard any

If protection operate the

supply will be

switched off. If no operation

from the Bucholtz, the

transformer will blow up.

Supply is switched off

Protection will cause supply to

be switch off. If

not, there will be major

damage to transformer

Protection should detect

earth leakage or unbalanced

load and must switch the

supply.

Approx. 0.0015

Approx. 0.01

Approx. 0.002

Approx. 0.0025

Critical / Catastrophic

failure

Critical failure

Critical / Catastrophic

failure

Critical / Catastrophic

failure

Weekly check on oil level and

immediate

repair of any leaks.

The Bucholtz form an

important part of the

protection

circuits and must be tested

frequently.

Make sure that protection

works and that

over temperature

rely is set correctly

Do frequent ratio test and

isolating tests on the

transformer. The isolating

properties of

the oil must be

Page 66: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

61

Open circuit

more.

Loose

connection, burnt windings.

The fault will

have various effects on the

transformer

that will cause gas and heat to

build up inside the

transformer. The protection

should detect

this and switch off the supply.

Approx. 0.0015

Critical /

Catastrophic failure

tested as well.

Make sure that

protection is in working order

and calibrated

to react as fast as possible.

Page 67: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

62

Item

Identification

Function Failure modes Cause Effects of

failure modes

Probability of

occurrence

Criticality of

failure

Corrective

action

Rectifier AC input to DC output

Open circuit

Short circuit

Over

temperature

One or more diodes not

working, Loose

connection, filter circuits

faulty.

Faulty diodes, fault current

causing

ionization of the air, support

circuits faulty

Arcing inside

rectifier, loose connection, bad

contact between diode

and heat sink, cooling fans not

working.

No output from rectifier.

Protection should detect

earth fault and

isolate the rectifier.

Over

temperature protection

should switch off the supply.

If not, major damage can

occur to

rectifier.

Approx. 0.003

Approx. 0.0025

Approx. 0.0035

Critical

Critical / Catastrophic

Critical /

Catastrophic failure

Frequent diode testing and

checking for hot

connections on the rectifier.

Make sure protection is

working and do

frequent diode testing.

Over

temperature protection must

be calibrated and tested.

Make sure that cooling fans are

working and

that hotspots are detected in

time.

Page 68: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

63

Item

Identification

Function Failure modes Cause Effects of

failure modes

Probability of

occurrence

Criticality of

failure

Corrective

action

HSCB Protection switch between

substation and

OHTE

Not operating

Operating too

slowly

Not good

connection to

busbar

Burnt contacts, opening and

closing circuits

faulty, broken spring

Tension on

opening mechanism not

correct

Tension on

contacts not

enough or to much, trolley

not properly aligned

Will not be able to isolate

substation from

fault on the OHTE

Contacts will be

damaged. If fault is big

enough, there

will be damage to substation.

Hot connection

will cause

arcing and damage to

contacts

Approx. 0.004

Approx. 0.0035.

Approx. 0.003

Catastrophic failure

Catastrophic

failure

Critical failure

Clean breaker frequently and

calibrate

annually.

Check tension

frequently and adjust if

needed.

Use correct

procedure to

set tension on contacts.

Page 69: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

64

Item

Identification

Function Failure modes Cause Effects of

failure modes

Probability of

occurrence

Criticality of

failure

Corrective

action

DC Earth leakage

Part of protection

circuits. Detects

any leakage of DC current in

the substation.

Not operating

Not locking out

substation

Faulty rely, no detection, loose

connection

Faulty latch or

rely

No protection for substation

against any DC

faults

Supply can be

switched back while fault is

still existing.

Approx. 0.0005

Approx. 0.001

Catastrophic failure

Catastrophic

failure

Weekly functional

testing and six-

monthly calibration

Weekly

functional testing must be

done.

DC Earthing System

To provide earth potential

to the DC in the

substation

Poor connection

No connection

Due to electrolysis the

earth mat

corroded away and is causing

poor connection between the

equipment in the substation

and the mat.

Due to

electrolysis the earth mat

corroded away

and is and does not exist

anymore.

There is no earthing

available for the

DC system in the substation.

The ability to conduct faults

is not-existant.

Approx. 0.003

Approx. 0.001

Critical failure

Critical failure

Testing of all protection

equipment in

the substation on an annual

basis.

Routine

replacement after every 5

years.

Page 70: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

65

Item

Identification

Function Failure modes Cause Effects of

failure modes

Probability of

occurrence

Criticality of

failure

Corrective

action

Track switch Manually operated switch

between

substation and OHTE. Isolate

above from each other.

Arcing

Not able to be closed

Not able to be

opened

Incorrect alignment of

the blades, dirty

contacts

Operating handle faulty,

dirty mechanism or

miss alignment

Burnt contacts,

faulty operating handle, locks

rusted

Hotspot on system where

conductors can

burn off.

No connection between

substation and OHTE.

There will be no

manual way to isolate the

substation from the OHTE

Approx. 0.001

Approx. 0.0005

Approx. 0.0005

Critical failure

Critical failure

Catastrophic

failure

Frequent maintenance

and inspections

must be done.

Make sure operating

handle is in good working

order and that

there are no loose bolts on

the switch.

Visual

inspection of the switch will

give early warning of

problems.

OHTE Overhead track equipment.

Carries DC to locomotive.

No continuity

Short circuit

Theft, vandalism,

damage due to passing train,

loose

connections, etc.

Fault caused by

object on line or loose

connections.

No feed to locomotive.

No feed to

locomotive

Approx. 0.1

Approx. 0.05

Catastrophic failure

Critical failure

Develop new methods to

protect line against theft

and vandalism.

Remove all

possible hazards, like

nearby trees.

Page 71: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

66

3.8 The influence of workload on reliability Just like mechanical fatigue in moving components, there is also electrical fatigue for

equipment used in the substations. There should be more fatigue in a substation where

the load is higher. A distribution of power usage is shown in Figure 3.8 for the six

substations under investigation. This data is for a period of twelve months and shows the

amount of power that was drawn from the utility company every month.

This particular utility company charges for three different tariffs, depending on the time of

day that the power was used. A breakdown into off-peak, standard and peak power is

given in annexure 10.2. The data gives an idea of the time of day when the substations

draw the most power. This is very important when looking into ways to save on energy

cost.

Figure 3.8: Total power usage over 12 months [15]

Table 3.3 summarises the number of times that there were problems at these

substations where maintenance staff had to go and do repairs. The information is

extracted from annexure 10.1.

0

200000

400000

600000

800000

1000000

1200000

1400000

1600000

2001

04

2001

05

2001

06

2001

07

2001

08

2001

09

2001

10

2001

11

2001

12

2002

01

2002

02

2002

03

Month

kwh

BEECHWICK

KRAAL

PERDEKOP

SPRUCEWELL

STANDERTON

VOORUITSIG

Page 72: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

67

Table 3.3: Substation visits

Substation Callouts Maintenance Inspections

Beechwick 5 15 14

Kraal 23 17 53

Perdekop 16 9 27

Sprucewell 14 23 52

Standerton 19 15 23

Vooruitsig 13 20 23

Table 3.3 gives an indication of the maintenance effort that went into each substation for

a period of twelve months. The number of callouts to a particular substation can be

related to the reliability of that substation. It is an indication of the number of times that

the substation failed and had to be visited to rectify the fault. The column indicating the

number of inspections done on that substation is not always a true reflection of the effort

put into preventative inspections because it can be influenced by the distance that the

technician responsible for the inspections need to travel to get to it. The closer the

substation is to the depot, the more it will be inspected. However, it does give a very

good idea of the number of inspections done at that place.

According to Figure 3.8, the substation Sprucewell is drawing the most power during

much of the year. The number of callouts to the substation is average but the amount of

maintenance done is the highest. Inspections took place quite frequently according to

the graph. The substation drawing the least amount of power is Standerton. Not that

many inspections took place, but quite a lot of callouts had to be attended to. From

annexure 10.1 it can be seen that there was one incident involving human error that

caused quite a few callouts.

Page 73: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

68

3.9 Summary

Accurate data is needed on the maintenance history of a 3kV traction substation to

calculate the reliability. Obtaining this data is not easy and it must be accumulated over

a period of at least three years to yield sufficient information. A technique for capturing

the data automatically is required.

By doing a FMECA on the system a very good model of the reliability can be obtained

through the use of experienced people. The knowledge gained over twenty years might

not be very scientific, but it remains very trustworthy. Before doing an FMECA, the

engineer must decide on the level at which the analysis must be done. More detail can

be added, depending on the required outcome.

Detail analysis of the type of callouts, the amount of maintenance and the number of

inspections indicates that by adding additional preventative effort, the reliability of a

substation can be increased. When calculating reliability it is very important to look at

workload. Reliability must be used as the measure against which to balance effort. An

acceptable reliability must be decided upon and workload must then be used as a

starting point to determine the maintenance effort.

Maintenance is an essential part of the lifecycle of any component or system and must not

be neglected. However, by making use of frequent inspections most problems can be

identified at an early stage, which will prevent major damage to an entire system. The

advantage of inspections should never be underestimated.

Page 74: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

69

4 VISUAL INSPECTION FOR 3KV DC SUBSTATIONS 4.1 Introduction From chapter 3 it is clear that visual inspections play a major roll in improving the reliability

of a 3kV DC traction substation. It gives an early warning of possible failure, which can

then be avoided by doing preventative maintenance. When one small component fails in a

system it may lead to total system destruction. For example, the failure of the over

temperature protection on a rectifier can cause the entire substation to be destroyed by

the fault current running through it. By detecting the possible failure early this can be

prevented. For a visual inspection to be effective there must be a clear set of guidelines to

help the inspector not to overlook small things. It must also be done without switching the

system off because this will cause a failure. Remember that a failure occurs when the

system cannot perform at its design standard. By switching it off it is no longer supplying

3kV DC to the overhead feeders. The inspection must also enable the inspector to be

efficient and not to waist time on unimportant detail.

In this chapter such an inspection process will be discussed and explained. This process

enables the inspector to get an objective view of the overall condition of the substation

without having to test or switch off any thing. It is safe and fast and can be done by any

person with a reasonable knowledge of substation maintenance. It allows the engineer

to compare inspections for determining trends and maintenance standards. The layout

allows the engineer to draw up a maintenance budget, focussing on problem areas.

This system was designed to make maintenance-orientated inspections more efficient and

reliable.

Page 75: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

70

4.2 Inspection form for 3kV DC substation The form in Figure 4.1 contains all the important components of the 3kV DC substation that

can be visually inspected. The only measurement that must be taken is that of the earth

fault current which can be read from the meters on the panels. No switching, is needed

which means that any person familiar with the working of the system can do the inspection

without needing special authority.

The form that must be used for this process is shown in Figure 4.1 and was designed

during my study towards a Masters degree in electrical engineering.[15]. All the information

is contained on only one page, with just short descriptions of each component that must be

inspected. Table 4.1 contains a detail description of each component for better

understanding. The weights that were assigned to each component were calculated sing

the FMECA one in the previous chapter.

The design of the form will help the person doing the inspection to follow a set route

through the substation in order to minimise time spent on the inspection. The average time

for inspections on a standard substation where all the sections in the form had to be

completed, was thirty-five minutes. When taking into account that the average distance

between two substations is ten kilometers, travelling between two substations takes about

fifteen minutes. It takes about one hour per substation to do this thorough inspection. This

implies that by using this process, six substations can be inspected per day.

Page 76: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

71

DATEPLACE

FENCING 0.11 FENCING 0.11 LIGHTNING ARREST ERS 0.17

EART HING 0.15 EARTHING 0.15 CAPASIT ORS 0.17

OCB MECHANISM 0.11 OCB MECHANISM 0.11 SPARKGAPS 0.17

T RANSFORMER 0.11 TRANSFORMER 0.1 LOCK MECHANISM 0.17

SILICA GEL 0.13 SILICA GEL 0.13 EART HING 0.2

OIL LEVELS 0.15 OIL LEVELS 0.15 AREA CLEAN 0.12

SAFETY SIGNS 0.07 SAFET Y SIGNS 0.07 T OTAL: 1

PAINT 0.09 PAINT 0.09

AREA CLEAN 0.08 AREA CLEAN 0.09

T OT AL: 1 TOTAL: 1

INDOOR INDOORLIGHTNING ARREST ERS 0.21

LIGHT ING 0.08 LIGHTING 0.21 SPARKGAPS 0.2

HSCB PANELS 0.08 PANELS 0.21 EART HING 0.24

L.T . PANELS 0.1 METERS 0.24 LOCK MECHANISM 0.2

RECTIFIERS 0.08 S/GAP + D/SWIT CH 0.21 AREA CLEAN 0.15

REACT OR 0.07 PER./LOG-BOOKS 0.13 T OTAL 1

BATT ERY CHARGER 0.07 TOTAL: 1

MET ERS 0.08

EART HFAULT 0.12

SAFETY SIGNS 0.07 3kV SUB 0.7 / 0.4

PER./LOG-BOOKS 0.12 HIGH VOLTAGE YARD 0.35 3kV SWITCH FRAME 0.3 / 0.15

AREA CLEAN 0.13 INDOOR 0.4 6.6kV SWIT CH FRAME 0.0 / 0.15

T OT AL: 1 BAT TERY ROOM 0.25

T OTAL:

BATTERY ROOM 6.6kV SUB 0.0 / 0.3

HIGH VOLTAGE YARD 0.55 PRODUCTION MANAGERWATER LEVELS 0.39 INDOOR 0.45

CONNECTIONS 0.39 MAINTENANCE MANAGERSAFETY SIGNS 0.22

T OT AL: 1

6.6KV SW ITCH FRAME

3KV SUBSTATION

HIGH VOLTAGE YARD

SUBSTATION INSPECTION SHEET

6.6KV.SUBSTATION

HIGH VOLTAGE YARD

3KV.SWITCH FRAM E

Figure 4.1 : Inspection form for 3kV DC traction substations [15]

Page 77: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

72

Table 4.1 : Component description for Inspection form [15]

Component Description 3kV Substation The part of the substation that is producing 3kV DC as an output. This

includes all the equipment associated with performing the required function. 6.6kV Substation The portion of the substation that is involves in the supply of 6.6kV power to

the overheads. It is sometimes connected to a supply or in other cases it is just for control purposes.

3kV Switch frame The structure where the output from the substation is fed onto the overhead equipment is called the switch frame. This frame hosts the switches and lightning protection for the 3kV feed.

6.6kV Switch frame This is the structure where the 6.6kV is fed onto the lines. High voltage yard This is the outdoor portion of the substation for the 3kV and the 6.6kV. In

most cases the two voltages are divided into two different yards to prevent accidents. This is where the supply to the substation is controlled and measured.

Indoor All equipment that is in the substation building is part of this portion of the 3kV or 6.6kV substation.

Battery room The heart of each substation, namely the batteries, is kept in the battery room.

Fencing The fence surrounding the entire substation that is preventing unauthorised entry to the high voltage yard and the building.

Earthing All the equipment is connected to earth for protection purposes. OCB Mechanism The mechanism that opens and closes the primary circuit breaker. Transformer All the transformers in the high voltage yards. For the 3kV feed it is normally

a 4.5MW transformer and for the 6.6kV it is normally a 1MW transformer. Silica Gel The breather that keeps the air dry when the transformer is “breathing”

contains silica gel which must be kept in a working order. Oil levels Al oil levels on the equipment must be correct. Safety Signs Safety signs that warns people against the dangers inside the substation

must be in place at all entry points to the substation. Paint Structure must be painted to prevent rust. Area clean The area must be clean of any rubbish or plants. Lighting The lights inside and outside the substation must be in working order. HSCB Panels The panels for the high speed circuit breakers must be clean and tidy. L.T. Panels The panels housing the low voltage equipment, such as protection, must be

tidy and clean. These panels are inside the 3kV substation building. Rectifiers The rectifiers are situated inside the enclosure that is protecting against

unauthorised entry. Reactor The big coil that is protecting the rectifier against surges must be clean and

the bolts must not be loose. Battery charger The panel that contains the battery charger is situated inside the building. Meters Al meters on the panels must be in working order. Earthfault The readings for this are taken from the meters on the panels and give an

indication of the leakage current that is flowing to earth. It must be zero. Per./Log. Books The permit books are used to document all switching that are done at the

substation. The logbook must be used as a visitors’ book, documenting everything that is being done at the substation.

Water levels The water level inside the batteries must be correct. Connections The connections between the batteries must be tidy and clean. Panels The panels inside the 6.6kV substation must be clean. S/Gap + D/Switch The sparkgap and d-switch at the door to the 6.6kV building must be working

to protect people entering the building from being injured. Lightning arresters The lightning arresters on top of the switching structures must be working. Capasitors The capasitors are on the 3.3kV switching frame and protects the system

from electric surge. Sparkgaps A small, bell-like type, piece of equipment that is situated on all structures to

protect people against electric shock. Lock mechanism The mechanism prevents unauthorised switching of the track switches at the

frame.

Page 78: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

73

4.3 Importance of different components on the form The entire process for this inspection is based on the fact that not all the components are

critical for the performance of the required function. In fact, the components have different

weights of importance when it comes to the functioning of the substation.

Some components are critical in performing the function needed, while others are critical

when it comes to human safety. That is why it is possible to assign different weights of

importance to each component.

In Figure 4.1 the different weights were added for illustration purposes. The actual form that

will be taken to the site will not have these weights on it. The substation can be divided into

four major areas, namely the 3kV substation, 6.6kV substation, 3kV switch frame and 6.6kV

switch frame. Each of these is assigned a different weight. Because some substations only

consist of the 3kV portion, there are two ways to calculate weight. For example, if it has all

four components, the 3kV substation will contribute 40% of the total mark. The 6.6kV

substation will contribute 30% and the switch frames 15% each. This means that the 3kV

substation is of greater importance than the 6.6kV substation.

The 3kV substation is then divided into smaller components with different weights. From the

FMECA in chapter 3 and the callout statistics in annexure 10.1, these values were determined.

Consideration had to be given to the fact that the assessment must stay visual only, and must

not include the use of any measurement equipment. It can be seen that oil levels and earthing

is very important for the visual inspection. Safety signs, painting and a clean area are not that

critical but do give the maintenance engineer a good idea of the maintenance effort that went

into the substation since the previous inspection. Remember that the purpose of this inspection

process is to determine the maintenance effort that was made and the effort that is required.

Page 79: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

74

4.4 The physical inspection

All the components and different aspects of the substation that is shown on this form can be

inspected and evaluated without having to do any switching in the substation. No special

authorisation and prior arrangements are therefore needed to perform the inspections.

Because of the limited impact on the service, more frequent inspections can be done and

randomly selected substations can be inspected without anybody knowing about it

beforehand. This will give a better idea of the condition that the system is in and the

maintenance effort that was put into it.

The process follows a logical path through the substations, which minimise time-consuming

movement through it. By using this logic, the inspection time was cut by about 20%

compared to previous inspections. The process also ensures that all the important aspects

are looked at and that nothing is ignored.

The maintenance engineer can decide on the scoring method that must be used. Each

component must be rated the same way. A good method is to score everything out of a

possible ten. For example, if the fencing is in very good condition and does not need any

work it can be scored a good nine out of ten. The scoring will be adjusted according to the

weight that was assigned to that component when it is entered into the Excel database.[15].

The spreadsheet will calculate the final scoring. An example of what the spreadsheet looks

like can be seen in annexure 10.3. The scoring can also be out of five or even one hundred,

depending on the maintenance engineer. Table 4.2 gives a very good guideline of how to

decide on a scoring.

Table 4.2 : Assessment scale for inspections [15]

Score out of 10 Interpretation of the score 10 Excellent condition with no improvement possible 9 Excellent condition with only minor cleaning needed 8 Good condition with only cleaning needed 7 Good condition with some minor maintenance needed 6 Condition still acceptable but maintenance is needed 5 Condition unacceptable but repairable with corrective maintenance 4 Condition unacceptable but repairable with major maintenance effort 3 Still in working order but budget for replacement within one year 2 Still in working order but must be replaced urgently 1 Out off order and must be replaced immediately 0 Not applicable for particular substation

Page 80: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

75

When a condition assessment of 4 is given to a component, the engineer will immediately

know that work on it must be budgeted for. This assessment will help the decision makers to

get the correct precautionary measures in place to prevent major damage to the equipment.

4.5 Influence of the level of expertise and experience

The level of expertise and experience of the inspector will make a difference in the scoring.

During a test done on eight people [15], the scoring on the same substation during the same

day was as shown in Table 4.3. Table 4.4 contains the information on the expertise and

experience of each person that took part in the test. All were male except for person H.

Table 4.3 : Scoring during test on eight people with different levels of experience and expertise.[15]

3kV

High Voltage

Yard

3kV Indoor

6.6kV High

Voltage Yard

6.6kV Indoor

Batter room

3kV Switch frame

6.6kV Switch frame

Total

A 7.2 7.4 7.8 8.2 8.5 6.7 6.2 7.37 B 7.6 7.4 7.9 8.1 8.8 7.2 6.4 7.57 C 6.8 7.2 7.5 7.4 8.2 6.2 6.3 7.04 D 7.1 7.3 7.6 8.4 9.0 6.4 6.1 7.33 E 7.6 7.7 8.0 8.3 8.9 6.2 6.5 7.53 F 7.3 7.1 7.5 7.8 8.5 6.1 6.2 7.14 G 7.4 7.5 7.9 8.4 9.0 6.8 6.4 7.55 H 8.1 7.8 8.2 8.5 9.0 5.8 5.4 7.46

Table 4.4 : Background on each person taking part in the test [15]

A Electrical Engineer with 5 years experience on substation maintenance B Electrical Engineer with 22 years experience on substation maintenance C Civil Engineer with no experience on substation maintenance D Technical supervisor with 16 years experience on substation maintenance E Electrical Engineering Technician with 1 year experience F Electrician with 14 years experience and working on substations daily G Electrical Engineering Technician with 26 years experience H Senior administrative official with no technical experience

Figure 4.2 shows a plot of the distribution of the test results obtained from table 4.3. All the

results were between 7.0 and 7.6 which in itself gives an indication that the level of expertise

and experience does not have a great effect on the outcome of this inspection procedure.

Page 81: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

76

Figure 4.2 : Distribution plot of test results

The following definition was taken from Stephen B. Vardeman, Statistics for engineering

problem solving (1993).

For a data set consisting of n values that when ordered are x1 ≤ x2 ≤ . . . ≤ xn,

1. for any number p of the form (i - 0.5)/n where i is an integer from 1 to n, the p

quantile of the data set will be taken to be xi (The ith smallest data point will be

called the (i - 0.5)/n quantile)

2. for any number p between 0.5/n and (n – 0.5)/n that is not of the form (i -

0.5)/n, the p quantile of the data set will be obtained by linear interpolation

between the quantiles corresponding to the two values of (i - 0.5)/n that bracket p.

In both cases, the notation Q(p) will be used to symbolize the p quantile.

The quantiles according to the above defenition for the test results obtained in table 4.3 are

shown in table 4.5.

Table 4.5 : Quantiles of the test results

i (i - 0.5) / 8 ith Smallest data point 1 0.0625 7.04 = Q(0.0625) 2 0.1875 7.14 = Q(0.1875) 3 0.3125 7.33 = Q(0.3125) 4 0.4375 7.37 = Q(0.4375) 5 0.5625 7.46 = Q(0.5625) 6 0.6875 7.53 = Q(0.6875) 7 0.8125 7.55 = Q(0.8125) 8 0.9375 7.57 = Q(0.9375)

6.66.8

77.27.47.67.8

A B C D E F G H

PersonC

ondi

tion

Page 82: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

77

The median, Q(0.5), is obtained by linear interpolation.

0.5 is (0.5 - 0.4375) / (0.5625 – 0.4375) = 0.5 of the way from 0.4375 to 0.5625.

Linear interpolation gives

Q(0.5) = (1 - 0.5)Q(0.4375) + 0.5Q(0.5625) = 0.5(7.37 + 7.46) = 7.415

The lower quartile, Q(0.25), and the upper quartile, Q(0.75) are obtained by using the same

mathematics.

Q(0.25) = 7.235

Q(0.75) = 7.540

Referring to table 4.5 for the (i - 0.5) / 8 quantiles of the test result distribution, figure 4.3

gives the graphical plot of the quantiles.

Figure 4.3 : Quantile plot of test results According to Stephen B. Vardeman [29] the assumption can be made that the underlying

data-generating mechanism would itself produce smoother quantile plots for larger samples.

Due to cost and time constraints the amount of samples used in this test is limited to only

eight. This, however, is sufficient to analyse it and to come to some important conclusions.

[2][27]

6.76.86.9

77.17.27.37.47.57.67.7

0.06

25

0.18

75

0.31

25

0.43

75

0.56

25

0.68

75

0.81

25

0.93

75

Quantile

Con

ditio

n

Page 83: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

78

Another way of plotting the results is by making use of a boxplot. The boxplot carries

somewhat less information, but nevertheless conveys a fair amount of information about

distribution location, spread and shape. To analyse the role that expertise and experience

play in the inspection process it is important to look at the distribution location and spread of

the test results.

A box is made to extend from the lower to the upper quartiles and is devide by a line at the

median. The interquartile range (IQR) is calculated as follows.

IQR – Q(0.75) – Q(0.25) = 0.305

Determine the smallest data point within 1.5IQR of Q(0.25) and the largest data point within

1.5IQR of Q(0.75). The boxplot is shown in figure 4.4.

1.5IQR = 0.4575

Q(0.25) – 1.5 IQR = 6.778

Q(0.75) + 1.5IQR = 7.998

Figure 4.4 : Boxplot for test results

From Figure 4.4 it can be seen that no points fall outside the value of 1,5IQR. This means

that the results are close enough to each other in order to prove statistically that this process

is not influenced by to expertise or the experience that the inspector has. All that the person

needs is the information contained in Table 4.2, which will serve as a guide to do the

inspection.

The only requirement for such a person is that he or she must be familiar with the location of

the different components in the substation in order to know what must be inspected. The two

persons with no electrical experience had to be guided in this regard.

7.04 7.235 7.54

7.415

7.57

7.3 7.1 7.2 7.0 7.6 7.5 7.4

Page 84: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

79

4.6 Substation inspections on sample stations.

Over a period of one year five inspections were done on six substations that are located over

a total track section of 200 km. The substations were randomly picked to see what the

difference will be when certain variables were built in.

The variables that were taken into consideration and investigated were the following:

1. The influence of different person doing the maintenance

2. The physical location with environmental variables

3. Different load requirements due to the topography.

The inspections were done during different times of the year to see if that will have an

influence on the condition. The inspections were done during April, August, December,

March and June. This meant that an inspection was done in all four seasons of the year.

The investigation focussed on the following:

1. Seasonal influence

2. Time in respect to the financial year.

The inspections done at each substation are given in Appendix 3. Figure 4.5 is a visual

presentation of the results that were obtained for each substation.

Page 85: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

80

6.0

6.5

7.0

7.5

8.0

8.5

Apr-0

1

Jun-

01

Aug-0

1

Oct-01

Dec-0

1

Feb-0

2

Apr-0

2

Jun-

02

Month

Con

ditio

n

Heidelberg

Sprucewell

Standerton

Perdekop

Beechwick

Vooruitsig

Figure 4.5 : Results of substation inspections

The first observation that must be made is that there was a decline in the condition of most of

the six substations during the last inspection done in June. This is also notable in Figure 4.6,

which gives the average condition for each inspection. There was a steady climb in the

condition during the first five measurements and then a sudden drop to the lowest of all the

inspections.

Figure 4.6 : Average of inspections per month There was a drop in the assessment at five of the six substations for the last inspection. One

of these substations dropped from 7.6 to 6.9. This is a drop of almost 10%. When looking at

the data in appendix 3, it is clear that the problem was in the high voltage yard of the 3kV

substation. The transformer deteriorated from 6 to 4 from the previous inspection, while there

was a problem with the safety signs as well. Despite the drastic deterioration between the

Average

7.137.17

7.21

7.34

6.99

6.80

6.90

7.00

7.10

7.20

7.30

7.40

Apr-0

1

May

-01

Jun-

01

Jul-0

1

Aug-0

1

Sep-0

1

Oct-01

Nov-0

1

Dec-0

1

Jan-

02

Feb-0

2

Mar

-02

Apr-0

2

May

-02

Jun-

02

Month

Con

ditio

n

Page 86: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

81

last two inspections, this particular substation had an average of 7.52 for all the inspections

over the year period. Figure 4.7 shows the average per substation for the five inspections.

Figure 4.7 : Average of inspections per substation

4.6.1 Influence of distance between base depot and substation

The six substations are maintained by four different persons. The information in table 4.6

gives the distance for each person between the substation and his base depot from where all

duties must be performed.

Table 4.6 : Distance between base depot and substation

Substation Maintained by Distance Heidelberg Person A 4km Sprucewell Person A 23km Standerton Person B 6km Perdekop Person C 32km Beechwick Person C 12km Vooruitsig Person D 8km

From this information it is clear that the distance that the person performing the maintenance

needs to travel, does not influence the condition of the substation. Person A might have a

problem with the distance that must be travelled because of the very low score on the

substation that is far from him. The results of this investigation will vary from person to

person and more data is needed to get a realistic result.

Average

7.18

6.61

7.14

7.377.52

7.19

6.00

6.20

6.40

6.60

6.80

7.00

7.20

7.40

7.60

Heidelberg Sprucewell Standerton Perdekop Beechwick Vooruitsig

Substation

Con

ditio

n

Page 87: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

82

4.6.2 Influence of environment on condition To investigate the impact that environmental factors have on the condition a summary of the

weather at each substation for the year during which these inspections were done, is given in

Table 4.7. This information was obtained from the South African Weather Bureau and

indicates the information from the closest weather station to the substation.

Table 4.7 : Summary of weather at each substation

Substation Average Temp.

Max. Temp. Min. Temp. Rainfall Sunshine

days Heidelberg 20 0C 35 0C -4 0C 216mm 280 Sprucewell 19 0C 32 0C -3 0C 256mm 282 Standerton 18 0C 29 0C -6 0C 310mm 264 Perdekop 17 0C 29 0C 0 0C 280mm 270 Beechwick 19 0C 30 0C -1 0C 268mm 246 Vooruitsig 18 0C 28 0C -2 0C 254mm 258

The extreme temperatures during winter may be considered as one of the reasons why the

condition assessment during June showed a drastic decline in scoring. Most electrical

equipment does not function well in places where extreme temperature changes take place.

[23][24][31].That is why the highest average was achieved during March, when smaller

changes between day maximum and minimum temperatures were experienced.

4.7 Interpreting the data Experience in the use of the form will help the engineer with the interpretation of the data.

The best way to gain the experience is to personally do the inspection. There is no better

person to interpret the data and make decisions accordingly than the one who did the

physical inspections.

Table 4.2 gives the best indication of how the data can be interpreted. Any value more than a

7 should be an indication that the substation is in very good order and that the maintenance

on that system is up to standard. There should not be a score of 10. That will mean that the

system in perfect order, which is highly unlikely.

A scoring between 4 and 7 should be an indication that the substation needs work. The

maintenance is not up to standard and must be improved. The condition can, however, be

Page 88: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

83

brought up to the required standard without major expenses. Only labour is required, along

with minor material items.

When the scoring is under 4, the engineer will know that there are major repairs needed and

that the budget must be adjusted accordingly. Some components in the substation need

replacement, which must be budgeted for. A scoring of 1 will indicate that it is already too

late and that the particular system has failed and must be repaired immediately. When the

particular component is not applicable for the substation, a scoring of 0 must be entered. The

spreadsheet onto which the data must be entered, is programmed to check for any 0 entries

and to change the formula so that the calculations do not take the 0 into account. This

applies when it comes to the scoring of the 6.6kV substations. Not all 3kV substations are

combined with a 6.6kV substation.

Once the data were fed into the spreadsheet, it is easy to perform different kinds of analysis.

A list of all components that have a scoring of under 5 can be displayed by making use of the

programmed abilities of Excel. This list will show where special attention is needed for

budgeting.

4.8 Summary Proper inspections of any system are an important step in the maintenance cycle. It is

therefore very important that there is a good system in place for the inspections. The form

described in this chapter gives the starting point for such a system. It is just the tool to obtain

the data, not to make decisions.

If the data is interpreted correctly, as described in this chapter, it will become one of the most

valuable tool in the maintenance engineer’s box.

Page 89: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

84

5 TECHNOLOGY TO MEASURE CONDITION 5.1 Introduction Technology based predictive maintenance provides advance notice of failure. There is still

repair cost involved, but without the downtime. According to Amos C Kenna (November

2003) [2], predictive maintenance involve to monitoring of two or three critical variables in a

device that, with a 90% confidence level, will warn you that the device is going to fail in a

very short time.

The measurements must help identify where to improve or focus maintenance effort.

Predictive maintenance involves more than just device data, it is process centered data with

comprehensive asset health information which enables the best financial decision. In other

words, it provides the ability to predict where to focus maintenance effort.

A study that was done by Boeing in the early 1960’s during the development of the 747

proved to be quite interesting.[29]. Richard Overman wrote in a paper presented at the 2003

International Maintenance Conference [3], that he found that only 11% of the components

demonstrated a failure characteristic that supported a scheduled overhaul or replacement

(scheduled removal). Eighty nine percent exhibited random failure characteristics for which a

scheduled removal was not effective. Since a scheduled removal was the primary scheduled

maintenance program at that time, new ways were needed to deal with the 89% not

applicable to scheduled removal.

During the failure mode, effect and criticality analysis done in chapter 3, it was found that the

same problem exists in a 3kV DC traction substation. New technologies need to be

developed to predict the onset of failure for components that exhibit a random failure

characteristic. In this chapter, the results from the FMECA were used to determine which

components need to be monitored to provide sufficient data for prediction of failure.

Maintenance is not required during the in initial life of any equipment. New systems will be

able to operate without maintenance. At some stage during the lifecycle, maintenance will be

required to ensure that the system retains its reliability. One of the decisions that must be

taken is when to begin with maintenance and how to adjust the maintenance input as the

equipment ages. [31][32]

The only way to determine this is through proper statistical analysis. For this analysis it is

important to be able to obtain as much information as possible.

Page 90: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

85

Another problem that exist in companies across the globe is the reduction of operating and

maintenance cost while maintaining and, in most case, improving standards of production.

The downside of this cost cutting approach is that the companies now may not have

adequate financial or labor resources to maintain the quality in the future with traditional

asset management methods as discussed in chapter 1. [1][2][3][31]

According to Cliff Walton and Ross Mackinlay (2003) [30], the reason for this is twofold.

There is an ever increasing age profile of installed equipment combined with a trend toward

reducing in house engineering and technical knowledge. The increasing age profile of

installed traction transformers in South Africa, as shown in Figure 5.1, show the need for the

application of on-line condition assessment as an asset management tool to extend plant life.

[4]

A large number of the transformers have already passed the original life expectancy of 25

years.[32]. This does not mean that all the equipment that have passed their life expectancy

are about to fail. It does mean that these assets should be managed with a condition-based

approach. To achieve an effective condition-based asset management policy, the plant

condition should be checked regularly and in a systematic manner.

0

50

100

150

200

250

300

10 20 30 40 50 60

Age

Num

ber

Figure 5.1: Age distribution for traction transformers in South Africa [4]

On line condition monitoring of equipment is becoming more widespread in the worldwide

electricity industry. Accurate condition assessment and the subsequant management of in

service, high voltage plants are becoming more economical viable, with continous advances

Page 91: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

86

and cost reductions being made in sensor technology, data acquisition and processing (Cliff

Walton and Ross Mackinlay, 2003) [30]. Although technology improvements continue apace,

it is essential that the resultant data be risk managed. Chapter 6 will focus on the

management of the tremendous amount of data that can be accumulated by continues

monitoring. In this chapter, the technology used to obtain the information is discussed to

provide a background for understanding the principles to be applied in chapter 6.

During the failure mode, effect and criticality analysis of the 3kV DC traction substation, the

critical components was identified according to risk. According to Cliff Walton and Ross

Mackinlay (2003) [30], this should typically be less than 5% of the system. If more is

identified, the system should be redesigned to eliminate the unacceptable high risk of failure.

The design of the monitoring system, used in this study, for traction substations was directed

at these critical components in the substation.

An early warning system was designed to detect trend and predict failure. This can only be

fully implemented once a proper understanding of the resultant data is achieved. Further

discussion on this will take place in chapter 6. It is important to correlate the condition

parameters with operational data like load and voltage. A decision support system for asset

management and maintenance purposes, using fuzzy logic, was formulated as a result of

these findings.

The technology must allow on line testing without the need to take the substation off-load.

This means that the substation must perform to its designed output while being monitored.

The information must immediately be available from remote access.

Page 92: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

87

5.2 General scope for condition monitoring of 3kV DC traction substation.

The following discussion covers the design of an on line condition monitoring system for 3kV

DC traction substation. The purpose of the system is to assist with the condition based

maintenance of the critical components inside the substation.

During the failure mode, effect and criticality analysis these components were identified as:

• Surge arrestors

• Primary Circuit breaker

• Traction transformer

• Rectifier

• High speed circuit breaker

• Battery and battery charger

The monitoring system must monitor these and provide advance notification of impending

failure. It must continuously update statistical data on the condition to provide information on

condition for the fuzzy logic model in predicting maintenance effort. [33]-[41]

Additional monitoring can provide information on failures to enable a shorter repair time. This

will decrease the mean-time-to-repair (MTTR) with a resultant increase in MTBF.

The remainder of this chapter will be divided into three sections, namely:

• Monitoring interface for critical components

• Data processing

• Communications and database

Some of the questions to be answered include the need for people at different levels in an

organization to view the information gathered with this system and the cost involved on

frequent communication between the system and the relevant parties. How must the

information be presented to the end users to make it understandable without compromising

on detail required during the discussion making?

It is important to understand the environmental condition under which the system must

operate. All the substations in South Africa are between 0m and 1800m above sea level with

a humidity of not more than 96%. The ambient temperature will be in a range between -10oC

and 55oC. The atmosphere may vary from clean to being salt laden to being polluted by

Page 93: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

88

industrial sources and locomotive fumes. Protection against lighting must be considered as

the strike density for some of the areas are amongst the highest in the world.

The system in itself must be reliable and it is of paramount importance that these

environmental factors are taken in consideration when designing the system. Vibrations from

the close proximity to the track might cause mechanical problems and need to be taken into

consideration when selecting the components.

According to the engineering regulations for the design of these substations, the supply

voltage will vary from 87V DC to 130V DC. The components must not be susceptible to

electromagnetic interference from the high voltage components inside the substation.

5.3 Monitoring interface for critical components

5.3.1 Surge Arrestors

The condition of surge arrestors in Spoornet have never been continuously monitored before

and, according to the 3kv DC Substation Routine Maintenance Manual (November 2002)

[21], surge arrestors must be inspected and cleaned once every 720 days. The only

indication that was available was the installation of surge counters that would give an

indication of the amount of surges dissipated by the arrester. These were quite inaccurate

and unreliable.

Leakage current is caused by a parallel combination of capacitance and dc resistance

between a voltage source (ac line) and the grounded conductive parts of the arrestor. The

leakage current through the device into the earth can be measured and used as a parameter

of condition. There are a number of instruments available that can be used to perform the

test. Due to the high cost of these, according to an internet market survey in the region of

R30 000 upwards, a method had to be designed that can be applied throughout South Africa

at each of the 603 substations that is cost effective. Due to the high rate of theft in the coutry

it is not a viable option to install expensive equipment in any case.

According to Kenneth Brown (March 2004) [24], in his article on metal oxide varistor (MOV)

degradation, Mov’s are variable resistors primarily consisting of zinc oxide (ZnO) with the

function of limiting or diverting transient voltage surges. MOV’s exhibit a relative high energy

absorption capability which is important to the long term stability of the device. The growing

demand of ZnO varistors is due to the nonlinear charachterisitcs as well as the range of

Page 94: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

89

voltage and current over which they can be used. If MOV’s are used used within their well

defined specifications, degradation due to environmental impact is not likely. [42][43]also.

However, the environment in which they are used is not well defined. The ac voltage supply

is subject to lightning stikes, switching transients, temporary overvoltage and other simular

disturbances. Due to this variety of disturbances, degradation or failure are possible in many

applications. When applied within their specified limits. MOV’s perform their designed

function relaibly at a low failure rate. For the MOV to perform like this, it must quickly

dissipate absorbed energy and return to its standby operating temperature. The ability to

dissapate energy to the environment will depend on the design of the environment itself, for

example the ambient temperature, ventilation, heat sinking, proximity of other components

and heatsources. [24][42][43]

Degradation and catastrophic failures may occur if an MOV is subjected to transient surges

beyond its rated values of energy and peak current. Brown used this theory to describe the

life of an MOV as the time required to reach a thermal runaway condition. He expressed the

relationship between ambient temperature and the life of the MOV by the Arrhenius rate

equation,

t = t0 exp[Ea - f(V)] / RT (5.1) [24]

where:

(t) = the time to thermal runaway

t0 = constant

R = constant

Ea = activation energy

T = tempreature in Kelvin

and f(V) = applied voltage

This Arrhenius rate model impose increased voltage and elevated temperature to accelarate

the reaction and do not adequatly address the detrimental effects of surge hsitory. Surge

history, especially transient surges beyond rated maximums, are perhaps the greatest single

contributor to reductions in varistor voltage, increased standby leakage current, and ultimate

thermal runaway. When increased voltage is applied for durations longer than microseconds,

physical and chemical changes occur within the many boundary layers of the device. Typical

pulse duration curves are shown in Figure 5.2.

Page 95: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

90

Figure 5.2 : Pulse Rating Curves (Brown, March 2004)[24]

The term “varistor” is a generic name for voltage-variable resistor. The resistance of an MOV

decreases as voltage magnitude increases. An MOV acts as an open circuit during normal

operating voltages and conducts current during voltage transients above the rated voltage.

Modern MOV’s are developed using ZnO due to their nonlinear characteristics and the useful

range of voltage and current is far superior to silicon carbide varistors. Hence the move in

South Africa to replace damaged silicon carbide varistors with metal oxide.

MOV’s have a large, but limited, capacity to absorb energy, and as a result they are subject

to failure as discussed in the FMECA in Table 3.2. The significant MOV failures include

electrical puncture, thermal cracking and thermal runaway, all resulting from excessive

heating, in paticular, from non-uniform heating. Non-uniform heating occur as a result of

electrical properties that originate during the manufacture process or the properties that

occur in polycrystalline materials.

According to Table 3.2 (Failure Mode, Effect and criticallity analysis), there are three basic

failure modes for MOV’s used within surge protection devices:

1. The MOV fails as a short circuit.

2. The MOV fails as an open circuit.

3. The MOV fails as a linear resistance.

It is likely for the MOV that fails initaily as a short circuit to fail as an open circuit due to the

absorption of large continuous current within the MOV. The short circuit failure is ussually

Page 96: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

91

confined to a puncture site between the two electroded on the disc. Large fault current can

create temperatures high enough to melt the ZnO ceramic which causes the short circuit.

Open circuit failures are possible if operation at steady state conditions occur above the

rated voltage. The exponential increase in current causes overheating and eventual

separation of the wire lead and disk at the solder junction.

The test results documented in Mardira et. Al. (2001) [42] show that MOV’s can be degraded

from an 8/20µs surge current at 1.5 times the rated surge current. This means that

degradation will take place if, for example, a 10kA surge current rated MOV dissapates a

15kA single pulse surge current. Lighting will cause degradation to the MOV. When the MOV

degrade it becomes more conductive after it had been stressed by either continuous current

or surge current.

Many MOV’s show no sign of degradation when operated below a specified threshold

voltage. A prediction on the level of degradation can be made if the operating conditions

were known. Temperature distribution in the material is due to the development of localised

hot spots during current impulse. Primary current and voltage can be compared to

temperature distribution. Measuring temperature distribution on a continuous basis is

expensive, therefor only a temperature constant was measured during testing.

One of the key parameters related to measure degradation is leakage current. Leakage

current in the pre-breakdown region of a MOV is important for two reasons :

1. Leakage determine the amount of watt loss an MOV is expected to generate upon

application of a nominal operating voltage.

2. The leakage current determiones the magnitude of the operating voltage that the

MOV can accept without generating an excessive amount of heat.

The leakage current is composed of a resistive current and a capacitive current. The resistive

component of current is thermally stimulated and is significant, since it is responsive for the

joule heating within the device. The capacitive current is a function of the MOV’s capacitive

value and the applied ac voltage. If the arrestor is subjected to an elevated voltage at a

specific temperature, the internal current increases with time. Conversely, if the MOV is

subjected to an elevated temperature at a specific applied voltage, the internal current

increases with time. This is accelerated by higher operating stress, and is futher aggravated

Page 97: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

92

by elevated temperatures. According to Brown (2004) [24], the life of an MOV is primarily

determined by the magnitude of the internal current and its increase in temperature, voltage

and time. As the current increases, the amount of heat (if not allowed to dissiopate) can

rapidly raise the temperature of the device. This will result in thermal runaway that can cause

destruction of the MOV.

If the increase in power dissipation occurs more rapidly than the MOV can transfer heat to

the environment, the temperature will increase until the unit is destroyed. Standler (1989),

wrote that MOV’s degrade gradually when subjected to surge current above their rated

capcity. He said that the end of life is commonly specified when the measured varistor

voltage (Vn) has changed by ±10%. MOV’s usually are functional after the end of life as

defined, but if it experiences sequential surge events, each causeing an additional 10%

reductionin Vn, the MOV may soon reach a level below the peak recurring value for the

applied voltage. When this state is reached the MOV draws in excess of 1mA of current

during each half-cycle of the sine wave voltage, a condition tantamount to thermal runaway.

In nearly all cases, the value of Vn decreases with exposure to surge current. This

degradation manifests itself as an increase in leakage current at the maximum operating

voltage in the system. Excesive leakage current during normal operation will cause heating in

the varistor. The relationship between percentage of the rated current and the temperature is

shown in Figure 5.3 (Brown, 2004). [24] also [42][43][44].

Figure 5.3 : Current, energy and power derating curve (Brown, 2004)[24]

Accelerated testing by Kenneth Brown was used in reliability prediction models. Using the

Arrenius model in Equation 5.1, the testing results allow accurate reliability and failure

Page 98: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

93

prediction in a relatively short period of time. Studies have shown that failure of electrical

components are due to chemical degradation processes which are accelerated by elevated

temperatures.

During this study the following parameters were monitored:

• Number of discharges

• Total leakage current

The electrical properties of the ZnO varistor in the leakage current range can be represented

by the simplified model in Figure 5.4 (Lundquist ed. al.,1989). [44]

Figure 5.4: Electrical representation of a ZnO varistor (Lundquist ed. al.,1989) [44]

According to Lundquist (1989)[44], the typical specific capacitance of a ZnO varistor is 75ρF.

Typical values of the capacitive current (Ic) range from 0.5 to 3mA depending on the varistor

diameter. The resistive component of the leakage current (Ir) is in the range of 50 to 250µA.

Figure 5.5. (Lundquist ed. al., 1989)[44] show the increase in total leakage current (It) in

relation to Ir.

Page 99: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

94

Figure 5.5: Increase in avarage leakage current (Lundquist ed. al., 1989)[44]

Figure 5.6: Typical zinc-oxide varistor characteristics (ABB Technical Information, 2350en)

Figure 5.6. shows the typical ZnO varisitor characteristics of accoring to a well kown

manufacturer, ABB. Note the capacitive current as shown in the figure.

The instrument that was used for the measurements is the Surge Arrester Monitor (SAM),

manufactured and supplied by ABB. The SAM has the following specifications:

Page 100: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

95

a) Waterproof

b) Temperature range of –30oC up to 85oC

c) Counting level (peak value) 10A

d) Measuring range of the current (peak value for It) 1mA to 20mA

e) Dead time between counting of impulses 500ms

f) Frequency range up to 62Hz

g) Shielded sensor cable with PUR coating.

h) Life span of battery is about 15 years

A temperature probe was atteched to the base of the arrester to get a measure of the

temperature. This measurement was used as a comparative measurement and did not need

to be extremely accurate The results of the measurements is discussed in the following

Chapter 6.

5.3.2 Primary AC Circuit Breaker

The primary circuit breakers are provided on the primary side of the main transformer for the

purpose of protecting the substation from overloading and from high fault currents. The

breakers are capable of interrupting fault currents of the order of 30 000 ampere. This

interruption must occur in very short time (t).

The circuit breaker tripping mechanism is operated by protection relays, which is driven by

current transformers. The current (I) measured by the current transformers is already

available and can be utilized in calculations to determine the energy dissipated through the

breaker contacts. [4][14][21]

In the case of a SF6 breaker, protection is also provided for gas pressure and air pressure.

This pressure is available for monitoring purposes and was incorporated in the

Programmable Logic Converter (PLC) setup that was used in the prototype testing assembly.

There are basically four types of high voltage circuit breaker drive mechanisms. A

comparison of these is shown in Table 5.1 below.

Page 101: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

96

Table 5.1: Different types of high voltage circuit breaker drive mechanisms (Spoornet

Engineering Instruction: EP.001 Issue 1)

TYPE USED ON ENERGY STORAGE MECHANSIM

STORED ENERGY (closed or charged)

ADVANTAGES DISADVANTAGES

Solenoid Bulk oil circuit breakers

Nil (open) 1. Simple and cheap 2. Manual closing possible

High burden on battery

Spring 1. Minimum. Oil 2. SF6 3. Vacuum

Springs O-CO Manual spring charging possible

Complicated repair

Hydraulic SF6 circuit breaker

Compressed nitrogen

O-CO-CO Low burden on battery

1. No manual closing possible 2. Hydraulic system with its associated problems

Pneumatic SF6 circuit breakers

Compressed air

O-CO-CO 1. Low burden on battery 2. Simple

1. No manual closing possible 2. Pressure vessel requires periodic inspection, or drilling of tell tale holes

Note: O = open, C = closed

The solenoid type is very simple and straightforward. For closing, a solenoid driving the

closing mechanism is connected directly to the 110V battery. Due to the heavy current drain

from the batteries, repeated closures cannot be attempted because the protection will

operate as soon as the battery voltage drops below 90V. This will cause the substation to go

on lockout and will require a technician to go out and reset the substation. [14]

In the spring drive mechanism the opening and closing of the circuit breaker is driven by

springs. The springs are wound by means of a small 110V DC motor. The springs can also

be wound using a crank handle. As soon as the breaker is closed, the 110V motor starts to

rewind the closing spring. The opening spring is tensioned during the closing operation.

Starting from a closed position and with the closing spring charged, the breaker can perform

the following sequence without any battery supply:

OPEN -> CLOSE -> OPEN

The hydraulic drive mechanism uses the principal of compressing nitrogen gas (N2). This is

done by trapping the gas in a cylinder (accumulator) and pressurising it with hydraulic fluid oil

working on the other side of the piston. In this way energy is stored in the compressed

nitrogen gas. The hydraulic fluid provides the drive mechanism between the stored nitrogen

Page 102: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

97

and the electrical contacts. The fully charged nitrogen and hydraulic pressure is in the order

of 250 bars and can perform the following sequence of operation:

OPEN -> OPEN CLOSE -> CLOSE OPEN

In the pneumatic drive mechanism the energy is stored as compressed air and the drive

mechanism between the stored energy and the electrical contacts is also compressed air. To

prevent corrosion forming in the air receiver and other working parts and to ensure smooth

operation, the air must be clean and dry. Special precautions are built into the circuit breaker

to ensure that the air is dry by provision of an air drier at the intake of the air receiver. When

this receiver is charged to 10 bar, it has the capacity to perform the following operations

without recharging:

OPEN -> CLOSE OPEN -> CLOSE OPEN

The high voltage breaker in use at Spoornet must be able to interrupt fault currents in the

order of 30 000 ampere on the primary side of the main transformer. Due to the increasing

fault levels of the Eskom system [15], the new breakers must be faster and able to withstand

levels of up to 5 000MVA.

The following parameters was monitored:

a) Contact wear (as a function of the energy dissipated, I2t)

b) SF6 gas level (same principals will work for oil)

c) Number of operations

In the traction substation most operation occur during maintenance activity when the

breakers are operated under no-load conditions. The expected wear on the breakers was,

therefore, must less than specified by the manufactures. According to the 3kV DC Substation

Routine Maintenance Manual [21], used by railway operators in South Africa, the breakers

must be dismantled and opened for maintenance every 180 days. No mention is made in this

schedule on energy dissipated.

There is a routine monthly check that must be performed on these breakers as well. This can

be reduced if the condition monitoring is in place to predict maintenance requirements.

The I2t value for each operation was calculated by the main processing unit described later in

the chapter. An analog signal converter was used to convert the signal from the secondary of

the current transformer to a 4 – 20mA or 0 – 10V signal that was suitable for the analog input

to the PLC.

Page 103: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

98

The results of the monitoring and calculations is be discussed in the following chapter 6.

5.3.3 Traction Transformer

According to Roy Moxley and Armando Guzmán in their paper called, Transformer

Maintenance Interval Management (2005)[32], excessive heat and mechanical stress during

through faults on transformers are recognized as the two major causes of damage.

Standards organizations such as the American Standards Institute (ANSI) and the Institute

for Electrical and Electronic Engineers (IEEE) consider the life expectancy for transformers

to be between 20 and 25 years.[32]. According to Facilities Instructions, Standards and

Techniques (FIST) 3-30, October 2000) [45], this estimate is based on continuous operation

at rated load and service condition with an average ambient temperature of 40oC and a

temperature rise of 65oC. This is also based on the assumption that the transformer receives

adequate maintenance over this period. According to studies done by these institutes, the life

will increase if the transformer is operated at lower ambient temperatures and load.

From experience and transformer design notes, it is known that the amount of service a

transformer can provide is directly linked to the serviceability. Measurable indicators of

transformer serviceability include electrical load, oil and ambient temperatures, fault history

and dissolved gasses analysis.

One of the most important issues in a traction transformer is the quality of the transformer oil.

The oil must ensure proper cooling, isolation and rust prevention inside the main tank. This

can only be achieved with good clean oil. The following factors influence the quality:

• Moisture

Moisture is the number one enemy. It is an accelerator of chemical reactions inside a

working transformer. Water also influences the isolation strength of oil and penetrates

paper isolation between windings. Paper has a 3000 times higher affinity for water

that oil. Furthermore, transformer oil is hygroscopic and can absorb moist from the

air. Water is also a product formed from the oxidation process that is continuously

going on inside the transformer and cannot be prevented. The tempo can, however,

be controlled.

• Temperature

Page 104: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

99

Heat is an accelerator of any chemical process. High temperature reduces the

lifetime of oil drastically due to the acceleration of the oxidation process.

• Acid

Various acids, organic and an organic, are formed from the chemical processes

inside the transformer. These acids then attack the oil and paper isolation, which

cause sediment to form. This sediment has an acid base as well and accelerate the

chemical breakdown of the oil. It also settles on the windings and inside the cooling

fins which causes overheating. The acids make the paper isolation brittle. This

reduces the ability of the transformer to withstand high electric impulses like lightning.

All of these can be monitored continuously if required. Routine oil sampling and testing is

much less expensive and will provide enough information to make decisions on possible

interventions required. It is not necessary to install expensive equipment to monitor the

moisture and acid content of the oil. [14][15][21][22][32]

Winding and oil temperature of the transformer is already measured and can be used for

calculations during predictions. The primary current in measured by the current transformer

and this input is already used for calculations on the primary circuit breakers.

An additional alarm that can be useful is the contacts of the Bucholtz relay. This will,

however, not be of any good when applying predictive models to the calculations.

The theory is that the winding temperature is direct in relationship to the amplitude of the

current measured by the current transformers. If this relationship were to change for a

specific transformer, it would be an indication of something faulty in the transformer.

In Chapter 8 the possibility of measuring vibrations on the transformer tank is discussed as

one method of monitoring the condition of the transformer.

An interesting theory that was explored, was to measure the difference between the top and

bottom oil temperatures. It was expected to stay constant and any change should be an early

indication of internal failure starting to occur. The assumption in this is that such failure will

occur gradually over a period of time, which should allow enough reaction time to immanent

failure. Typical oil flow is shown in figure 5.7 (FIST 3-30, October 2005)[45]. If proper flow is

Page 105: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

100

possible inside the transformer, the relationship between the top and the bottom

measurements should stay constant. Any variation that is detected will be an indication of

either flow problems or excessive heating through the windings.

As discussed previously, the installation of flow detectors was not considered. It should also

be noted that the traction transformers in South Africa are naturally air cooled without fans.

Figure 5.7 : Typical oil flow (FIST 3-30, October 2005)[45]

Other possibilities that were considered include the monitoring of flow inside the transformer,

real time monitoring of dissolved gasses and oil humidity, pressures and partial discharges. It

will be un-economical to install the technology to monitor these properties in the 4.5MVA

traction transformers that is in use. During the FMECA (Failure mode, effect and criticality

analysis) the effect of a transformer failing was investigated and it was found that for the total

service, the maintenance engineer can afford having it out for a period of time.

Page 106: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

101

According to FIST 3-30 (October 2005)[45], operation of only 10oC above the rated

temperature of the transformer will cut the life by 50%. The best way to protect and extend

the life of a transformer is to collect information such as load and fault current, as well as oil

and winding temperature, and then to receive notification when any of the values reaches the

preset levels. When combining these values it will provide a tool to logically predict alarm

conditions and react. The challenge was to provide a means of collecting these values

without creating a massive new system that is expensive and require frequent maintenance.

Modern protection relays that can be permanently connected to the transformer current and

temperature inputs have a memory and recording capability with some logic decision making

capacity. This will be discussed later in the chapter.

One of the inputs into the PLC that was introduced during the testing was the dry outputs

from the Bucholtz relay. Figure 5.8 shows the position of the open and closed contacts. [22]

Figure 5.8 : Bucholtz Relay (FIST3-30, October 2005)[45]

The Bucholtz relay has two oil-filled chambers with floats and relays arranged vertically one

Page 107: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

102

over the other. If high eddy-currents, local overheating or partial discharge occur within the

tank, bubbles of resultant gas rise tot the top of the tank. These rise through the pipe between

the tank and the conservator. As gas bubbles migrate along the pipe, they enter the Bucholtz

relay and rise into the top chamber. As gas builds up in the chamber, it displaces the oil,

decreasing the level. The top descents until it activates a magnetic switch, which triggers the

alarm output. The bottom switch will be activated if the oil level in the transformer decreases

below the accepted volume. Both of these outputs were connected to the PLC. [14][21]

5.3.4 Traction Rectifier

Visual inspection is the most effective way to determine the condition of the rectifier [15].

During visual inspection the following must be noted:

• Examine the rectifier for any signs of damage or overheating, discoloration of

connections and busbars.

• Ensure that no dust is present on the diodes or the heatsinks. This will obstruct

proper heat flow and will reduce the ability to dispose of heat to the environment.

• Check the tightness of all securing brackets to ensure proper current conduction.

• Test the attenuation circuit protection by manually operating the micro switch of the

dropout fuse. [14][15][21]

These inspections can only be done by a certified person who is authorized to isolate the

rectifier. [14]This means that the substation must be taken off-load.

Most modern rectifiers have been designed with proper circuits to indicate the condition of

the diodes, protect the rectifier against over-temperature and monitor the cooling fan. During

this study the existing technology designed into the rectifier was used to provide inputs to the

PLC.

The diodes are monitored to indicate open or short circuit failure. Two outputs to the PLC for

this were used. Indications of one or two diodes that failed were sent as an alarm signal to

the main processor. An over-temperature alarm was the third output. It is important to know if

the cooling fan is working or not. This will give advance warning of probable failure. The

silicon diodes are very heat sensitive and operate within fairly narrow tolerances.

Page 108: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

103

Due to the fact that rectifiers are mainly designed using power electronic components, it is

very difficult to monitor parameters that will provide information to be used as to set up a

predictive maintenance model.

5.3.5 High Speed Circuit Breaker

High Speed Circuit Breakers (HSCB) are provided in 3kV DC substations to protect the

overhead track equipment (OHTE) against overloads, to isolate the OHTE sections and to

isolate the substation from feeds from adjacent substations in the case of protection

operations (Spoornet Engineering Instraction EP.001, 1993)[14].

These breakers are normally calibrated to operate at currents between 3000A and 4500A,

depending on the loop resistance of the section of OHTE and rail it protects [21]. In the case

of short circuits immediately outside the substation, fault currents can reach levels of 50kA.

The breaker will clear such fault currents between 0.025 and 0.08 seconds (25ms and

80ms). This causes a high amount of energy to be dissipated through the contacts shown in

figure 5.9.

Figure 5.9: Typical High Speed Circuit Breaker (EP.001,1993).[14]

Page 109: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

104

The circuit is interrupted by parting the contacts and controlling the resultant arc inside an arc-

chute. The function of the arc-chute is to increase the resistance of the arc, and hence the arc

voltage.

The energy dissipated in the arc chute can be calculated. These calculations were

accumulated in the main processor to indicated the energy dissipated during the life of the

arc-chute. If this information is combined with the number of times that the breaker operated,

it should give a very good indication of the remaining life of the arc-chute and the contacts.

During tests the contact wear was measured weekly. Figure 5.10 shows the maximum

allowable wear on the contacts.

Figure 5.10: Maximum allowable contact wear (EP.001, 1993).[14]

5.3.6 Battery and Battery charger

Batteries are installed at traction substation for protection and control purposes. It is vitally

important to make sure that the batteries a properly maintained. Loss of the 110V DC supply

will cause the substation to fail due to the fail-to-safe design standard of the protection. This

will mean a total loss of design functionality of the substation. In other words, total failure.

[14][21][43]

Visual inspections are used to assess the general condition of the battery, battery room and

safety equipment. Check the cleanliness of the battery, racks and room. Electrolyte leaks are

a serious indication of cracks in the cells and must be attended to immediately. The ambient

temperature must be checked and care must be taken to ensure proper functioning of the

ventilation equipment. [15]

Page 110: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

105

The battery supply is used for the following:

• Closing and tripping of the Primary Circuit breaker.

• Supply to protective relays.

• Emergency lighting in substations.

• Closing- and holdingcoil supply of the High Speed Track Breakers.

Most chargers used in South African traction substations is the silicon-controlled rectifier

(SCR) type. The charger has two important functions, a) to keep the batteries charged and,

b) to replace the batteries if the need arises. The size of the charger is very important to the

life of the batteries. The charger must be big enough the easily gas the batteries during

charging.

With the design of new chargers, more and more parameters are measured. The following

were used during the tests:

• Battery Bank Voltage (V)

• Battery Bank Ripple Voltage (% of nominal)

• Charging current (Aaverage)

• Charging current Ripple (% of nominal)

Additional measurements that were done are:

• Discharge current (Ah)

• Average Cell Voltage

• Internal Resistance

• Ambient temperature.

A battery monitoring system that was installed monitored the additional parameters. This

data was stored in the main processor.

Page 111: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

106

5.3.7 Additional parameters monitored

Additional parameters monitored were:

• Output contacts of the protection relays

• Undervoltage relay output

• Rectifier voltage output

• Rectifier current output

Although these parameters were monitored, they were not used in setting up the predictive

model in fuzzy logic because it is more an indication of corrective maintenance required.

5.4 Block diagram of the condition monitoring system The condition monitoring system that was developed for this study captured the following information according to the block diagram shown in Figure 5.11.

• Three analogue signals from the surge arrestor.

• Two IO signals from the Primary Circuit Breaker and a serial port.

• Three analogue signals from the Main Traction Transformer and one IO from the Bucholtz relay.

• Six IO signals from the Rectifier.

• Serial port from the High Speed Circuit breaker.

• Serial port from the Battery charger.

The data captured from these inputs to the Main processing unit was stored on a removable hard drive in data format. The data was transferred to Excel spreadsheets where all the calculations were done.

Page 112: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

107

Figure 5.11: Blockdiagram of condition monitoring system.

1 x Analogue

1 x Analogue

RS485 serial

RS485 serial

M A I N

P R O C E S S I N G

U N I T

3 x Analogue

2 x Dry Contacts

6 x Dry ContactsTraction Rectifier

Diode State

Fan Monitoring

Rectifier temp

Surge Arrestor Leakage current measurement

Primary AC Circuit Breaker

I2t calculation

Traction Transformer

Oil temp

Outputs from Bucholz relay

Winding temp

High Speed Circuit Breaker

Calculation of Energy dissipated in the arc chute or I2t calculation

Battery and Battery Charger

Charging Current

Cell Voltage

Battery Bank Voltage

Battery Bank Temp

Internal resistance calculation

Discharge Current RS485 serial

SF6 gas level

Number of trips

Primary AC current

Number of trips

Ripple Voltage

1 x Analogue

Page 113: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

108

5.5 Summary As technology develops, the monitoring of equipment will become less expensive and more accurate. The price to store information is also dropping drastically. This enables the monitoring system to compare more information for the maintenance engineer to use. It is important to be able to know what to do with the available information, how to analyse it. In the next chapter this will be explored. Monitoring must occur continuous without disruption to the performance of the equipment. All techniques in this chapter had no influence on the performance of the equipment and was relatively easy to install. It must always be kept in mind that these monitoring devices need to be maintained as well. Care msut be taken not to over complicate matters when monitoring is done. Compatibility to new technology is also of paramount importance. The PLC used during these test can already be replaced with a much more effective one, for example.

Page 114: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

109

6 ANALYSING MEASUREMENTS 6.1 Setting engineering limits As mentioned previously, predictive maintenance compares the trend of measured physical

parameters against known engineering limits for the purpose of detecting, analysing and

correcting problems before failures occur. [1][2][3][31]

A predictive approach can be applied to any equipment problem if, a physical parameter like

vibration, temperature, current, voltage or resistance can be measured. An engineering limit

for the measured physical parameter must be established so that a problem can be detected

during routine monitoring. This limit should be low enough to detect a problem before

damage occurs. Correcting of the root problem is the key to predictive maintenance.[31]

The established parameters can be measured periodically, for example weekly, monthly or

annually. If the measurement exceeds the engineering limit it must be analysed further. The

idea is to set the engineering limit low enough to allow for enough time to do proper analysis

and determine the root cause of the problem before damage occurs.

There are several aging processes at work in the equipment, any of which may cause the

ultimate failure. These processes are usually related to the basic physics of the materials and

how they are used.[31][32]

Knowledge of the physical properties of the materials used in equipment comes from either

theoretical of empirically derived conclusions. To understand how failures can be predicted,

the mortality of the equipment and the finding of the parameter must be understood.

The measurement of a physical parameter in itself, as in chapter 5, is not enough to detect

the destructive effects on the equipment or component. It is important to determine a limit or

a rate of change in the parameter that may be excessive or damaging.

One method is to observe a number of failures before a safe limit can be established. For

this reason a number of failures was observed and investigated to check limits on some of

the components discussed later in this chapter. Statistics of failures inside traction

substations were used to calculate probabilities of failure of the specific equipment under

discussion. The limited amount of information from this system must be noted. One major

problem identified in South Africa was the reluctance of maintenance personnel to accurately

Page 115: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

110

record information on failures and components replaced [15]. This will be discussed in

chapter 7.

Most engineering limits have already been determined by the manufacturers, professional

societies and industrial groups. The application in a traction substation might differ from the

designed environment for that specific equipment, but over the years, as knowledge on the

maintenance requirements increased, the user determined new limits to suit the specific

application.[24][52]

Predictive maintenance must, however, not just focus on the reliability of the equipment but

also on the quality of the product delivered. In this case, a regulated 3kV direct current

supply to the traction locomotives. During the failure mode, effect and criticality analysis, this

was taken into account to determine critical equipment in the substation.

6.2 Surge Arrestors

The function of a surge arrestor is to limit over voltages that could damage equipment. The

arrestor must bypass the surge to ground and discharge severe surge current of high

magnitude and long duration without being damaged itself. This means that the arrestor must

be able to continuously withstand the rated voltage for which it was designed, only allowing

minimum flow (leakage current) of the 50Hz current to ground. After the high frequency

lighting surge has been discharged, a surge arrestor, still functioning properly, will be

capable of repeating its protective function until another surge voltage must be

discharged.[24][42][43]

Since the surge is discharged to ground, it is imperative that a good grounding system be in

place with a low resistance between the system and natural ground.

Figure 6.1 shows the measurements taken over a period of 15 months by the author on a

metal-oxide type surge arrestor in a substation located in an area with a high frequency of

lighting occurrences. According to Weather South Africa, this substation is located in the

area with the highest density of lighting during December 2005 and February 2006 in South

Africa.

Page 116: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

111

Figure 6.1: Surge count on lighting arrestor

Modern surge arrestors requires very little operational maintenance and the degree to which

such maintenance can be done is usually limited by the lack of adequate testing equipment.

This limits the surge arrestor maintenance to visual inspections as described in chapter 4

and simple electrical test as described in chapter 5. It is recommended that units found to be

defective be replaced rather than repaired. Where an arrestor is composed of more than one

unit, each one must be tested individually to enable the maintenance engineer to replace the

damaged units and retain the good ones. [43]

Surge arrestors are almost always supplied with one terminal connected to an electrically

energised source and one connected to ground. No work must be done while the one

terminal is connected to the energised source. [24][42][43]

The periodic visual inspections should ensure that the line lead is securely connected to the

line conductor and the arrestor. The ground lead must be fastened to the arrestor terminal

and the grounding system. The inspections must, thirdly, ensure that the housing is clean

and free of cracks, chips, or evidence of external flashover.

Page 117: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

112

During the inspection the following must be noted if the arrestor is subject to:

a) Damaging fumes or vapors.

b) Excessive dirt or any other current-conducting deposits.

c) Excessive humidity, moisture, dripping water, steam or salt spray.

d) Abnormal vibrations or shock.

e) Ambient temperatures in excess of 40oC.

Finally, the visual inspection must be concluded by ensuring that any gaps are free from

foreign objects and set at proper spacing.

The electrical test performed on the surge arrestor to measure the leakage current yielded

the information analysed in Figure 6.2.

Figure 6.2: Leakage current tested on Metal Oxide Surge Arrestor.

When analysing the trend line, it is important to note the steady upwards trend. This indicates

that leakage current increases over time as the number of surge voltages discharged through

the arrestor increases. In chapter 5, failure of an arrestor was described as the loss off the

capability to dissipate thermal energy. If the leakage current increases for the designed

operating voltage, in this case 88kV, then it must be assumed that the physical properties of

the material inside the arrestor is changing. This means that the capability of the arrestor to

perform to its designed standard decreased. [42]

Page 118: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

113

During the test period the arrestor being tested never reached the limit where it destructed

because of incapability to dissipate the thermal energy. It is therefore recommended that the

rate of change be monitored to be able to predict possible failure and replace the arrestor.

During the FMECA it was found that the arrestor does not play an critical role in the

substation and that catastrophic failure of the arrestor will not lead to the same effect on the

performance of the substation.

It is important to be able to detect failure immediately to reduce the risk of catastrophic failure

of the substation during the next surge. All surge arrestors have an amount of leakage

current present that can be measured. If this suddenly disappears, it will be a indication of

failure and immediate action can be taken. This is corrective maintenance and not the ideal

situation.

As soon as the rate of change reaches a 25% higher value than the average calculated over

the period since the monitoring started, a visual inspection must be conducted at least once

a month. When that rate increases to 50% difference, it is recommended that the arrestor be

changed. This calculation will become more accurate as the amount of data increases.

Different arrestors of the same type can be compared to increase the accuracy even further.

All the arrestors in one substation can be compared as a benchmark against each other.

These arrestors will operate in very much the same conditions. If the rate of degradation of

one suddenly start differing from the others, the alarm should be send.

6.3 Primary Circuit breakers

The function of a primary circuit breaker is to interrupt the high voltage supply from the utility

when an overload or fault condition occurs. Figure 6.3 is an indication that primary circuit

breakers in traction substations are not exposed to the same operating conditions as to that

of a distribution substation. Most of the operations in Figure 6.4 were caused by manual

switching during maintenance or when it was tripped by the battery undervoltage relay. This

relay is calibrated to drop out when the battery voltage drops below 90 volt. [14][20][21]

In Graph 6.3 the operations were filtered to represent only those that occurred during fault

conditions. A total of 43 such operation occurred out of a total of 74 during the 12 month

period over which these test were conducted. The highest fault current level was measured

at 25.89kA with the interrupting time varying between 8ms to 19ms. Figure 6.3 shows the

resultant It2 calculation the determine the amount of energy interrupted.

Page 119: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

114

Figure 6.3: Operations during fault conditions for primary circuit breaker.

From the trend line it is clear that the energy dissipated increased over the period. This can

be contributed to the time of interruption that increased. The satisfactory operation of the

spring drive mechanism depends heavily on the closing and tripping latches being in a good

condition. It must be clean, well lubricated and free of corrosion and wear. The drive

mechanism must only be connected while connected to the breaker. During inspection all

these should be checked before a rating can be applied to the inspection form as described

in chapter 4.

Figure 6.4 is an indication that more operation occurred during the warmer months. Even

though higher incidents of lightning occurred during these periods, it is difficult to understand

the reason for more operations. According to the substation’s maintenance logbook, frequent

maintenance was done on equipment inside the substation not necessarily directly

associated with the breaker. But to be able to work under certain off-load condition manual

switching of the breaker had to be done. It is therefore concluded that most of the switching

during the months with higher occurrence of lighting took place in order to do maintenance

on other damaged equipment.

The primary circuit breaker is part of the interlocking system of a substation and must be

switched before the substation can be taken off-load and declared safe to enter the high

voltage areas.

Page 120: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

115

Figure 6.4: Count of all operations.

Figure 6.5 is a measurement of the SF6 level inside the breaker. The SF6 pressure is at a

level of 5.8 to 7.5 bar.

Figure 6.5: SF6 level as a percentage.

Page 121: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

116

The alarm should be set to sound if the pressure drops below 80%. If it reaches a level of

70%, the breaker should be tripped an locked-out as a pressure of less than that is

inadequate to clear the arc and will cause damage to the breaker. Catastrophic failure might

be the result.

While the gas system is refilled, the rapid expansion of the gas will cause it to cool to a lower

temperature than the dew point of the surrounding air, and moisture will condense on the

hose fittings. This is quite normal and there is no cause for alarm. If the flow rate is to high

though, it will cause the gas itself to freeze and prevent further flow, giving the impression

that the cylinder is empty. To prevent this, the supply cylinder valve must be regulated so

that the gas flow does not exceed the SF6 gas pressure of the breaker by more than 0.5 bar.

6.4 Traction Transformer

Being essentially static devices, transformers require very little maintenance [14].

Nevertheless, it is important to be able to have a measure of deterioration, if any, and

evaluate the condition of the transformer.

Deterioration of the oil and insulation within the transformer is a function of moisture, time

and temperature and, hence, of load conditions. Currently periodic oil sampling and testing

provides an indication of the condition of the oil. [9][22][32]

As can be seen in Figure 6.8, traction transformers are subjected to usually short peak

currents. As a consequence, average oil temperatures are relatively low, as shown in Figure

6.6 and Figure 6.7. Where the temperature is constantly higher than 60oC, more frequent oil

testing must be done. Much has been written about transformer oil and the methods of

testing it [22]. It remains a very subjective process, depending on the skill and commitment of

the person taking the sample. A different condition assessment technique had to be found.

Figure 6.6 and Figure 6.7 show the difference between temperature measurements at the

top and the bottom of the transformer. It was expected to be very much the same with the top

temperature to be a little higher because of thermal flow inside the tank. The first graph

yielded the expected results. Because of the natural ventilation design, making use of

radiator fins, the bottom temperature is approximately 1oC lower and lagging by a few

minutes. This is perhaps more than what was expected, but can be explained.

Page 122: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

117

According to figure 5.7, the natural flow of oil inside the tank is through the radiator in a down

wards direction. This is caused by the difference in pressure because of higher thermal

energy at the top. Oil with a higher temperature will have a lower density, in other words, a

lower pressure will be measurable at the top. Nature dictates flow to be from a high to a low

pressure system.

The measurements in Figure 6.7, might be an indication of some problem in the oil flow of

that specific transformer. At approximately 13h00 and 20h00 the top and bottom

temperatures did not follow the same pattern, indicating irregularity in the flow. Upon

investigation, it was found that a packing on the radiator was busy disintegrating, causing

blockage of the system. If proper flow measurements were available, the result could have

proven to be very interesting.

Figure 6.6: Top and bottom oil temperature – Transformer A

The bigger difference in the top and bottom temperature in Figure 6.7 at some instances also

caused concern. Analysis of the record for oil testing on this transformer showed that no

tests were conducted for a period of almost four years.

When the tap at the bottom was opened, it was clearly blocked by a build-up of slack. This

slack was caused by excessive arcing over a period of time. These results showed that a

simple oil temperature test and comparison can provide evidence of possible failure. This

enabled the maintenance engineer to take an informed decision and do predictable

maintenance before a catastrophic failure occurred.

Page 123: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

118

Figure 6.8 shows the comparison between the top oil temperature and the current. As

described earlier, traction transformers are subjected to very cyclic load currents because of

their application. During the period under consideration, 9 trains drew current form the

system in the direction of incline. Measurement were only taken at 15 minute intervals, thus

the unexpected pattern in the current being drawn. The current should gradually increase as

the train nears the substation. The current drawn should also be much more in the same

order.

The principal, however, can still be explained using this data. The increase in temperature is

expected to be relative to the current drawn. If the relationship between current drawn and

temperature changes, it will be an indication of increased losses in the transformer or

deterioration of the oil quality. This function will be build into the fuzzy logic principal

described in chapter 7.

Figure 6.7: Top and bottom oil temperature – Transformer B

Possible problem area

Page 124: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

119

Figure 6.8: Current vs top temperature

6.5 Rectifier

A rectifier is designed to remain functional even if one diode in a rectifier branch becomes

defective. Failure of a diode (loss of blocking ability) will not immediately lead to breakdown

of the rectifier, because two diodes are in series per branch and the remaining one will be

able to withstand twice the applied reverse voltage. [4][14][21]

The rate of replacement for silicon diodes, calculated from the maintenance data obtained

from Spoornet, is 0.2 per 1000 per annum [4]. This figure also includes replacement during

commissioning.

The conditions of the diodes are monitored and this information is send to a dispay on the

rectifier. Two outputs form this display was used as inputs to the PLC to indicate any faulty

diodes on the rectifier.

During the test period no faulty diodes were registered. The theory is that is advance warning

can be given when the first diode fails, it can be replaced before the entire rectifier fails.

Page 125: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

120

6.6 High Speed Circuit breaker

The actual fault level can be measured when a high speed breaker operates. This can be

expected to be in the region of 50kA. The interrupting time is between 0.025 and 0.08

seconds. This equipment is very expensive because it must measure direct current, and to

install a prototype in the system, the failure-to-safety had to be proven.

To proof the theory though, the calibrated level for each of the three breakers were used with

an assumption that the interrupting time would be the same for each breaker. Breaker #1

was calibrated at 3200A, breaker #2 at 4000A and breaker #3 at 3500A. The time was taken

to be t=0.08.

Operation counters was installed and the number of operations logged. Figure 6.9 indicate

the results from calculating the accumulative energy for these values. It is clear that the rate

at which the calculation increases is very much the same for the three breaker.

This was compared with the measurements of the wear for the moving and fixed contact of

breaker #3. There is a very good comparison between the energy and both the contact wear.

It is possible to estimate contact wear by calculating energy dissipated through the contacts.

This will allow the maintenance engineer to determine intervention before failure occur.

Scheduled shutdowns can be used to replace worn contacts to prevent untimely failure.

Figure 6.9: Accumulative calculated energy

Page 126: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

121

Figure 6.10: Contact wear

6.7 Batteries and chargers.

With the design of new chargers, more and more parameters are measured. The following

were used during the tests:

• Battery Bank Voltage (V)

• Battery Bank Ripple Voltage (% of nominal)

• Charging current (Aaverage)

• Charging current Ripple (% of nominal)

Additional measurements that were done are:

• Discharge current (Ah)

• Average Cell Voltage

• Internal Resistance

• Ambient temperature.

Page 127: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

122

A battery monitoring system that was installed monitored the additional parameters. This

data was stored in the main processor.

No further discussion will be done on this subject since the science of understanding battery

supply is a study on its own. It must just be noted that the parameters obtained from these

test can be used, in conjunction with the manufacturer, to increase the maintainable life of a

battery bank.

6.8 Summary

Condition monitoring is an essential part of maintenance. The challenge is to find a cost

effective method of obtaining the data required to make accurate decisions. To implement a

system in 603 substations will be very costly and difficult to motivate.

Through the thorough investigation and research done in the previous chapters to identify the

critical components to be measured, a cost effective system was developed as discussed in

this chapter. The data obtained from the condition assessment was analysed to determine

thresholds, or engineering limits, that will enable toe system to provide an alarm when critical

values are reached.

This reduces the level of experience required by the maintenance engineer and eliminates

unnecessary input on a human level. This interface will never disappear entirely, but the

system developed limits the risk involved when human intervention is required.

It is important to note that it will still be a human that setup and maintain the system. It will

still be a human that must react to alarms.

Page 128: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

123

7 FUTURE DEVELOPMENT FOR REAL BUSINESS NEED –PREDICTIVE MAINTENANCE

7.1 Real business need. As capital available for investment shrivels, manufacturing managers need to sqeez the last

useful drop of economic life from equipment. Traditional reactive and preventive

maintenance must be blended with today’s predictive maintenance tools. (C. Kenna Amos,

1993) [2]

A balanced between competing business considerations of trying to increase capacity,

maintain quality and reduce production costs must be found. Success for maintenance

practitioners, facing dwindling budgets and smaller staff, will mean finding a fresh

perspective on their function and communicating in business terms with the enterprise’s

higher levels. Manufacturing executives must grasp the criticality of adequately funded and

implemented maintenance programs and then act accordingly.

Optimizing asset utilization has its challenges. The enterprise must understand what

predictive maintenance is, and how and why it is used. Then the business must identify

which assets are best monitored predicatively. [2] This process was implemented for traction

substation during the study and proofed to be very successful. Over time the information

obtained from this will lead to a better understanding of the dynamics involved in 3kV DC

traction substation maintenance, which will enable an improved analysis to be carried out.

Using available technology, predictive maintenance provides advance notice of problems

With the predictive approach, one still have the repair cost, but not the downtime. It will allow

longer MTBF and higher level of utilization because you don’t have as much preventive

maintenance. Predictive maintenance depends on the monitoring of two or three critical

variables in a device that, with a 90 percent confidence level, will tell you that the device is

going to fail in a very short time.

Predictive maintenance allow manufactures to determine where they need to improve or

focus their efforts. Those would be maintenance, cost reduction and quality improvement. It

must be noted that predictive maintenance is one component of an asset management

strategy. The others would be performance monitoring, condition monitoring, quality

improvement and cost reduction according to C. Kenna Amos (1993)[2].

Page 129: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

124

In chapters 5 & 6 the focus was on device data and obtaining the information required to take

certain predictive decisions. Predictive maintenance involves more than just device data. In

fact, capturing the data proofed to be the easier part of the process. The data must be

analysed in the context of the users business needs. It must enable the owner or

manufacturer to take the best financial decisions.

While condition monitoring and performance monitoring feed into predictive maintenance,

businesses could benefit from acknowledging that automation systems and devices,

including wiring, as well as products themselves, are assets to be considered.

In the process industries, the next frontier for predictive maintenance is in the measuring

devices. The solution may be “self-validating” assets where the asset or equipment will give

indication that a problem exist. It will provide information on the root cause and the manner in

which the problem effects productivity. Also [1][3][5][6][17][27]

7.2 Sustaining development

As discussed in the previous section, the future must be in developing equipment and

components that will be able monitor itself and detect possible problems. Advance warning

must then be given to the maintenance engineer on the cause of the problem and the extend

that productivity is influenced. If possible, the equipment must try to rectify the problem as

good as possible. In other words intelligent equipment must be developed.

The cost savings possible through predictable maintenance is so significant that it will

become impossible to operate any system in future without it. Because of the age of the

average traction substation in South Africa, this will become the only way to keep the system

running without having to spend huge amounts of capital in a short period of time.

The savings will not only be in the avoidance of unnecessary preventive maintenance, but

also in the fact that less corrective maintenance, or unscheduled maintenance, is needed. In

chapter 1 the problem with these strategies were explained. The maintenance time required

can be reduced and predicted. Direct maintenance cost normally, according to C. Kenna

Amos (1993)[2], in some instances contribute to only about 30% of the actual cost incurred if

unscheduled loss in production occurs.

Page 130: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

125

During this study the focus was on developing a system that can be implemented on traction

substations. Only a few substations were monitored to test the system and obtain data for

the development of the analysis process. If this system is to be implemented in all of the 603

substations, maintenance effort calculations will surely show this to be true as well.

Sandy Dunn’s quote (2005)[1], that predicting the future is fraught with danger brings her to

the conclusion that changes in the field of condition monitoring only be sustained if they

address real business need.

What is this business need that will sustain development in condition monitoring? After

investigating a wide range of possibilities, it must be defined as the need to extract maximum

profits from the minimum profits in plant and equipment. The aging substation equipment

may be beyond this point already and need to be replaced, but due to the capital cost

involved, ways must be explored to stretch the remaining maintainable life of the equipment.

In the FMECA that was done in chapter three, the critical equipment was identified. The

criteria not only took the functionality into consideration, but also the cost to replace and

availability. A 5MVA traction transformer, for example, costs approximately R1.2mil. to import

with a delivery time of between 8 and 12 months. This increases the criticality of the

transformer.

According to Sandy Dunn (2005)[1], there are five ways to achieve the above through

condition monitoring.

a) Improve equipment reliability through the effective prediction of equipment

failures.

b) Minimising downtime thought integrated planning and scheduling of repairs

indicated by the condition monitoring.

c) Maximise component life by avoiding the conditions that reduce equipment life.

d) Utilize condition monitoring to maximise equipment throughput and performance.

e) Minimise the condition monitoring cost.

Page 131: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

126

7.2.1 The need to predict equipment failure

When the corrective strategy is in use, the main motivator to improve is to reduce failures.

The primary advantage of condition monitoring is to be able to predict unplanned equipment

failures. It is important to determine through a analysis like the FMECA, which failures need

to be predicted, and to implement condition monitoring to assist in this. The current

frequency at which monitoring takes place in traction substations, is far from optimal. To

determine the frequency, it is important to know what the lead time for each failure is.

Condition monitoring is very expensive and creates huge amounts of data. If the frequency is

not accurate, it will make the investment in monitoring equipment useless. [51][52]

7.2.2 Integrated planning and scheduling

There are other ways in which condition monitoring can improve maintenance through this

predictive approach. The total downtime can be reduced by taking a holistic view of all the

equipment in the system. Planned maintenance can be scheduled together and be done in

one shutdown. If one piece of equipment is nearing the possible failure condition, the

available information on the other equipment can be accessed to determine condition status

and a decision can be maid if this must be replaced at the same time.

This requires the effective integration of the following:

a) Condition monitoring results.

b) Visual inspection results.

c) Preventative maintenance schedules.

d) Equipment performance monitoring. [3]

The difficulty in this, for a major railway company, is that all of these information traditionally

have been kept in different places. During this research study, information from the various

departments were combined to produce the calculations on probability.

Page 132: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

127

7.2.3 Greater accuracy in failure prediction and the need to reduce cost of condition

monitoring

The most significant benefit from integrating the condition monitoring data and the process

control data is that root cause determination of failure can be done much more accurate.

Presently the cause investigation heavily rely on the experience of the analyst. Due to a rapid

decrease in the number of experienced personnel available in the market, the integration of

this data becomes essential.

The biggest challenge in this effort to integrate the data is to capture it in the same protocol.

In other words, a program must be developed to capture all the data in the same format to

enable accurate analysis.

The fact that the cost of signal processing technology is decreasing rapidly, makes the

development of such software much more economical. Manufactures must realise the benefit

of fitting this technology to their equipment and be guided by the rest of the industry to decide

on a protocol that will be used. Very much the same as the Bluetooth cordless technology.

This sensor technology is still too expensive to implement economically in the industry. If

implemented, this intelligent sensor technology will greatly reduce the complexity of putting

the outputs together and integrate the data. Although a PLC was used to capture the data in

this research, the information input was still greatly restricted by the output received from the

sensors. The data compiled for the high speed circuit breaker is a good example where

proper output would have required very expensive technology. The calibrated value for each

breaker was used during energy calculations, but with better sensors, the accurate measured

value could have been used. The principal was proven and can be applied when the

monitoring technology becomes economically available.

Page 133: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

128

7.2.4 The need to improve relaiblity

The algorithms used in these intelligent sensors must be accurate and reliable. The starting

point for these algorithms will be discussed later in this chapter. The process will be

described as a fuzzy logic algorithm.

The impact of the improvement in this failure diagnostics software must be two-fold. First it

must improve the consistency and accuracy of failure diagnoses. Second, it must reduce the

labour required to assess the condition of equipment.

7.3 Key trends for condition monitoring in the future

From the measurements taken in this study, it is clear that for predictive maintenance to be

sustainable, intelligent sensors and new cost effective monitoring techniques must be

developed. This is to enable continuous monitoring of critical components of the system. The

increased requirements to build sensors into equipments that can be connected to the

monitoring system in substations must be understood by the manufacturers.

To enable the engineer to understand and analyse all the information obtained from these

sensors, software will have to become increasingly more sophisticated and a rapid

development in the diagnostic capabilities is required to keep up with the evolving hardware.

Condition monitoring must be accepted by the maintenance and operation departments as a

day to day activity that cannot be neglected. The advantage to production managers must

become clear for them to support this strategy. Planning towards increased production must

make use of the available information to enable optimized planning.

Predictive maintenance must be incorporated into business plans and the advantage of

condition monitoring that can lead to better utilization and reliability must be integrated with

the need to produce.

During the visual condition inspections performed in chapter 4, it became clear that in some

instances acceptable standards were lowered to prevent loss of production . This is a very

short term solution which can be prevented by enforcing compliance to industry standards

through these monitoring techniques.

Page 134: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

129

In the railway industry the development of process control technology is much more

advanced than that of condition monitoring. The manufactures of the process control

equipment will have to understand the concept of integration with this maintenance strategy

flowing from condition monitoring, and start applying it to their technology.

7.4 Software development

From the above discussion it is clear that there will be an increased number of components

in the substation that can be monitored as the technology becomes more accost effective.

The focus will shift from obtaining the information, to applying the principles in the industry to

maximise the business benefit.

There will be less manual data collection an more sophisticated analysing software. The

basic start for any software developer is to understand the client need. To facilitate this

process, the predictive strategy, discussed to date, can be written into a fuzzy logic program.

7.4.1 What is fuzzy logic

According to Steven Keahler, Fuzzy logic – An introduction [46], the concept of fuzzy logic

was conceived by Lofti Zadeh, a professor at the university of California, and presented not

as a control methodology, but as a way of processing data by allowing partial set

membership rater than crisp set membership or non membership. This approach to set

theory was not applied to control systems until the 70’s due to insufficient small computer

capability prior to that time. Professor Zadeh reasoned that people do not require precise,

numerical information input, and yet they are capable of highly adaptive control. If feedback

controllers could be programmed to accept noisy, imprecise input, they would be much more

effective and perhaps easier to implement. Also [36][37][38][39][40][41]

In this context, fuzzy logic is a problem-solving control system methodology that lends itself

to implementation in systems ranging from simple, small, embedded micro-controllers to

large, networked, multi-channel PC or workstation-based data acquisition and control

systems. It can be implemented in hardware, software, or a combination of both. Fuzzy logic

provides a simple way to arrive at a definite conclusion based upon vague, ambiguous,

imprecise, noisy, or missing input information. It is the same approach to control problems as

to how a person would make decisions, only much faster.

Page 135: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

130

Fuzzy logic incorporates a simple, rule-based IF X AND Y THEN Z approach to solving a

control problem rather than attempting to model a system mathematically. The fuzzy logic

model is empirically-based, relying on an operator's experience rather than their technical

understanding of the system. For example, rather than dealing with temperature control in

terms such as "SP =500F", "T <1000F", or "210C <TEMP <220C", terms like "IF (process is

too cool) AND (process is getting colder) THEN (add heat to the process)" or "IF (process is

too hot) AND (process is heating rapidly) THEN (cool the process quickly)" are used. These

terms are imprecise and yet very descriptive of what must actually happen. Consider what a

person does in the shower if the temperature is too cold: he will make the water comfortable

very quickly with little trouble. Fuzzy logic is capable of copying this type of behavior but at

very high rate. [33][34][35][46]

Fuzzy logic offers several unique features that make it a particularly good choice for many

control problems.

1) It is inherently robust since it does not require precise, noise-free inputs and can be

programmed to fail safely if a feedback sensor quits or is destroyed. The output control is a

smooth control function despite a wide range of input variations.

2) Since the fuzzy logic controller processes user-defined rules governing the target control

system, it can be modified easily to improve or drastically alter system performance. New

sensors can easily be incorporated into the system simply by generating appropriate

governing rules.

3) Fuzzy logic is not limited to a few feedback inputs and one or two control outputs, nor is it

necessary to measure or compute rate-of-change parameters in order for it to be

implemented. Any sensor data that provides some indication of a system's actions and

reactions is sufficient. This allows the sensors to be inexpensive and imprecise thus keeping

the overall system cost and complexity low.

4) Because of the rule-based operation, any reasonable number of inputs can be processed

(1-8 or more) and numerous outputs (1-4 or more) generated, although defining the rule base

quickly becomes complex if too many inputs and outputs are chosen for a single

implementation since rules defining their interrelations must also be defined. It would be

better to break the control system into smaller chunks and use several smaller fuzzy logic

controllers distributed on the system, each with more limited responsibilities.

Page 136: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

131

5) Fuzzy logic can control nonlinear systems that would be difficult or impossible to model

mathematically. This opens doors for control systems that would normally be deemed

unfeasible for automation.

How is fuzzy logic used?

1) Define the control objectives and criteria: What am I trying to control? What do I have to

do to control the system? What kind of response do I need? What are the possible (probable)

system failure modes? This was done in the Failure mode, effect and criticality analysis in

chapter 3.

2) Determine the input and output relationships and choose a minimum number of variables

for input to the fuzzy logic engine (typically error and rate-of-change-of-error). With the

information obtained from the measurements described in chapter 5 and the resultant

discussion in chapter 6, it is possible to provide accurate relationships for the equipment that

was monitored.

3) Using the rule-based structure of fuzzy logic, break the control problem down into a series

of IF X AND Y THEN Z rules that define the desired system output response for given

system input conditions. The number and complexity of rules depends on the number of

input parameters that are to be processed and the number fuzzy variables associated with

each parameter. If possible, use at least one variable and its time derivative. Although it is

possible to use a single, instantaneous error parameter without knowing its rate of change,

this cripples the system's ability to minimize overshoot for a step inputs.

4) Create fuzzy logic membership functions that define the meaning (values) of Input/Output

terms used in the rules.

5) Create the necessary pre- and post-processing fuzzy logic routines if implementing in

S/W, otherwise program the rules into the fuzzy logic H/W engine.

6) Test the system, evaluate the results, tune the rules and membership functions, and retest

until satisfactory results are obtained.

This is a very shortened explanation of fuzzy logic. One of the goals of this study is to create

a fuzzy logic understanding of maintenance. The PDM (Predictive Maintenance) Cycle as

described by Brown (2003) [13] and discussed in chapter 1, is a very simple example of

fuzzy logic.

Page 137: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

132

Figure 7.1 : PDM Cycle for critical equipment (Brown, 2003)[13]

It must be understood what must be controlled with this fuzzy logic. The need for the

maintenance engineer to understand the requirements of a system and to react in time to

prevent unscheduled downtime, provides the answer to this question. With the development

of a fuzzy logic diagram, the focus will be on the monitoring, comparison of the

measurements to set engineering limits and the analysis of the problem if it exists. Also

[40][41].

7.4.2 Fuzzy logic for equipment being monitored

During this study, values were monitored for the following:

o Surge arrestors

o Primary circuit breakers

o Traction Transformers

o Rectifiers

o High Speed Circuit breakers

o Batteries and Chargers

Page 138: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

133

(a) Surge Arrestors

The following was measured during the tests:

o Surge Count

o Leakage current

According to the measurements the engineering limits for the arrestors must be set as

follows:

o Accumulative Surge count per annum eo<40

o Average Leakage current el<13mA

o Rate of change in leakage current over 24 hours er<0.1mA

o Leakage current ec>0mA

The rate of change can be taken over a shorter period if greater accuracy is required, the 24

hour period, however, provide a filter for high occurrences of surge dissipation through the

arrestor.

To provide an immediate alarm when the arrestor is destroyed, a limit is set that there should

always be some leakage current present. Hence the reason for the ec>0mA.

(b) Primary Circuit breakers

The following was measured during the tests:

o Energy dissipated during fault current operation (It2)

o Operation count

o SF6 Level

To calculate the accumulative fault current, operation under normal conditions, for example

when switching was required for maintenance purposes, were filtered out.

According to the measurements the engineering limits for arrestors must be set as follows:

o Rate in change for It2 over 10 operations er<0.2kJ

o Operations under fault conditions per annum eo<75

o SF6 level 70<esf6<95

Page 139: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

134

To prevent to much pressure in the SF6 breaker, a higher limit is also set for the SF6 level.

The will warn the maintenance engineer if the technician doing maintenance, used the

incorrect equipment of method to fill the breaker.

(c) Traction Transformer

The following was measured during tests:

o Top oil temperature

o Bottom oil temperature

o Current

In the analysis in chapter 6, the top and bottom oil temperature was compared to determine

any problems with the internal flow of the oil. The top temperature was also compared to the

current drawn through the transformer. This provide for a classic fuzzy logic input, as no

precise values are required to determine an outcome.

The engineering limits that must be set according to these comparisons are:

o Difference between top and bottom temperature ed<20C

o Rate of change for top temperature and current drawn er<30sec

o Comparison between current and top temperature must stay constant

A rise in current must result in a rise of the top temperature. The comparison must remain

constant. Minor alterations will be allowed due to difference in ambient conditions such as

wind and temperature. If the data base is populated over a prolonged period of time, the

accuracy of this comparison will become much higher.

(d) Rectifier

The following was captured on the rectifier testing:

o Diode failure

As explained in chapter 6, no faulty diodes was detected over the testing period. The input

will provide an alarm to the maintenance engineer should any failure occur. It will also

automatically log the information on the database to provide for accurate calculations on the

probability of failure.

Page 140: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

135

(e) High Speed Circuit Breaker

The following information was measured and captured onto the data base:

o Energy dissipated

o Fixed contact wear

o Moving contact wear

The idea of this study was to determine any relationship between the accumulated energy

dissipated and the contact wear. According to graph 6.9, showing the calculated

accumulated energy dissipated, and graph 6.10, depicting the fixed and moving contact

wear, there is a very strong relationship between the energy dissipated when operated under

load conditions and the wear on the contacts.

It is a very cumbersome task to measure contact wear because of the effort involve. It must

be done by a certified person who need to take the breaker out of service for a short period

of time. The idea of the preventive strategy is to do all measurements and determine

maintenance requirements without influencing the operation of the equipment. From the

graphs mentioned above it is clear that the possibility to estimate contact wear by measuring

the energy dissipated through them.

According to the calculated results, it is possible to set an alarm for contact replacement

when the accumulative energy reaches a level of ee=3500J. It must be noted that this is a

calculated value for the energy and that more expensive equipment might lead to a different

value.

Since predictive maintenance focus on the total downtime of a system and aims to reduce

that by scheduling tasks together, both contacts must be replaced simultaneously. According

to the results the moving contact have much higher tolerances towards wear, but to reduce

down time and maintenance effort, it must be replaced with the fixed contact.

When rep[lacing a contact, various time consuming tasks must be performed, including the

removal of the breaker from service, opening and cleaning of the breaker and the re-

calibration after replacements. All of this can be halved if the two contacts are to be replaced

during the same maintenance cycle.

Page 141: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

136

(f) Batteries and Charges

During the past couple of years, technology have been developed to monitor batteries and

charges. This technology provides the following outputs as discussed in chapter 6:

• Battery Bank Voltage (V)

• Battery Bank Ripple Voltage (% of nominal)

• Charging current (Aaverage)

• Charging current Ripple (% of nominal)

Additional measurements that were done are:

• Discharge current (Ah)

• Average Cell Voltage

• Internal Resistance

• Ambient temperature.

This information was added to the data base to provide valuable information on the condition

of the batteries. The manufactures of the technology already build in some alarms which can

be used to act upon problems before the cause failure.

The intention of this study was not to go into more detail on the monitoring of the batteries.

Page 142: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

137

7.5 The fuzzy logic program

When taking all the above into account, a fuzzy logic program for the equipment can be

designed. The table of variables are shown in table 7.1.

Table 7.1: Equipment variables

Equipment Variable Action

Surge Arrestor

eo<40

el<13mA

er<0.1mA

ec>0

No action required if number of operations is less than 40 per annum, compare with rate of change in leakage current if more than 40. Raise maintenance concern if tempo per day, week of month exceeds the average by more than 30%. Monitor to calculate rate of change. If the value exceeds 13mA, detail analysis by the maintenance engineer might show interesting result. Raise maintenance concern when value is exceeded. Raise maintenance concern when the rate of change exceeds 0.1mA over 24 hours. If no leakage current is present, immediate action is required by maintenance staff.

Primary Circuit Breaker

er<0.2kJ

eo<75

70<esf6,95

Raise maintenance concern if the rate of change over a moving average of 10 operations is more than 0.2kJ Raise maintenance concern if more than 75 operations occurred under fault conditions. Monitor the operation against the average per day, week and month, This will provide important information on other defects that might be present in the substation. The SF6 level must be between 70% and 95%. Raise maintenance concern if these limits are exceeded.

Traction Transformer

ed<2oC

er<30sec

Monitor difference between top and bottom oil temperatures and compare. Raise maintenance concern if this value exceeds 2oC The temperature of the oil must not lag the current spikes by more than 30sec. Compare average lag time to determine characteristic of each transformer.

Rectifier ediode Raise maintenance concern if a diode fail on the rectifier.

High Speed Circuit Breaker ee<3.5kJ Raise maintenance concern to replace both

contacts if calculated energy exceeds 3.5kJ.

Page 143: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

138

The program commands for each piece of equipment that were monitored are shown below. For the surge arrestor:

IF eo > 40 OR eo (day) > (AVERAGEday)+30% OR eo (week) > (AVERAGEweek)+30% OR eo (month) >

(AVERAGEmonth)+30%, THEN SEND MAINTENANCE CONCERN

IF el > 13mA, THEN SEND MAINTENANCE CONCERN

IF er > 0.1mA, THEN SEND MAINTENANCE CONCERN

IF ec < 0 OR ec = 0, THEN SEND MAINTENANCE CONCERN, FLAG FOR IMMEDIATE

ATTENTION

For the primary circuit breaker:

IF er > 0.2 kJ, THEN SEND MAINTENANCE CONCERN

IF eo > 75 OR eo (day) > (AVERAGEday)+30% OR eo (week) > (AVERAGEweek)+30% OR eo (month)

> (AVERAGEmonth)+30%, THEN SEND MAINTENANCE CONCERN

IF esf6 < 70% OR esf6 > 95%, THEN SEND MAINTENANCE CONCERN

For the traction transformer:

IF ed > 2oC, THEN SEND MAINTENANCE CONCERN

IF er > 30sec OR er > er (average) +30%, THEN SEND MAINTENANCE CONCERN

For the rectifier:

IF ediode > 0, THEN SEND MAINTENANCE CONCERN

Page 144: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

139

For the high speed circuit breaker:

IF ee > 3500J, THE SEND MAINTENANCE CONCERN

7.6 Summary on fuzzy logic During the development of a software program to aid in the decision making of the

maintenance engineer, the information in the data base on the all the conditions monitored,

must be compared to evaluate the rate of change in any of them. An abnormal rate will cause

an alarm to the engineer, who will be able to react.

If this strategy is followed, the system will be an intelligent tool that has the capability of

training itself. The more information in the database to compare, the higher the accuracy of

the system. It is not necessary to have accurate engineering limits and to program these into

the program. Even the rate of change, as defined in the chapter for each piece equipment,

will be calculated as the system evolves by adding data to its intelligence.

The theory is that if a specific piece of equipment nears the end of its operational life, the rate

of change will increase enough for the program to pick it up and send an alarm for urgent

replacement or repair.

This is not really a new theory. The historical bathtub curve already indicated this

characteristic of electrical equipment.

Figure 7.2 : Typical failure-rate curve (Benjamin S. Blanchard, Systems Engineering and

Analysis, 1981).

Page 145: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

140

The theory that the rate of change increases near the end of life, is also reflected in figure 7.2

where the probability of failure is presented. Maybe a co-incidence? Further development in

condition monitoring equipment and the availability of more data will enable the maintenance

engineer to test this theory with greater accuracy.

7.7 Vibration measurement as an alternative. 7.7.1 Introduction The use of vibration testing is used almost every day in normal life activities. Thumping a

watermelon to assess the ripeness by the sounds or vibration coming from it is but one

example. [49]

An interesting theory that was researched and experimented with, was to monitor the

vibration of a traction transformer. If a huge number of similar transformers could be

compared and a typical wave form for the vibration determined, then any substantial variance

from that could be an indication of latent defects. [50][51]

During the study, a accelerometer was used to provide input to a digital scope meter. This is

very basic equipment with a limited degree of accuracy. After the analysis of six similar

transformers a typical waveform could be determined.

The specifications for the accelerometer is shown below:

Range Velocity 200m/s2 : 0.5 to 199.9 m/s2

Acceleration 200m/s2 : 0.5 to 199.9 m/s2 Frequency range 10Hz to 1kHz

Accuracy ± (5% + 2d) reading, 160Hz, 80Hz. @ 23 ± 5oC

Three measurements were taken for each transformer at different places to determine the

typical waveform for that specific transformer.

Page 146: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

141

7.7.2 Basic vibration theory. The analysis of time waveform data is not a new technique. In earlier days of vibration

analysis the data was viewed on oscilloscopes and the frequency components calculated by

hand. According to Timothy A Dunton, time waveform analysis can be used for any vibration

problem. [47]

He wrote that the key to successful analysis of time waveform data is in the setup of the

instrument. The following elements have to be considered when setting up the instrument.

o Unit of measurement

o Time period sampled

o Resolution

Amplitude measurements units should be generally selected based on the frequency of

interest. Waveform data can be taken using displacement, velocity or acceleration. During

the tests performed on the transformers, acceleration was used. This emphasized the higher

waveform frequencies that were present in the vibration signal. [47][49]

The instrument used was set up to capture a time period of approximately 0.1 seconds. This

allowed for at least 4 cycles to be captured. This function was limited on the scopemeter that

was used to capture the data due to the fact that it only captured the display data that was

present on the screen of the meter.

The resolution of the meter was high enough to capture important events I the cycle.

Page 147: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

142

7.7.3 Test results

The waveform shown in figure 7.3 was taken at a 3kV DC substation.

Figure 7.3: Typical time waveform for a traction transformer

When observing a waveform it is important to look at the symmetry above and below the

centerline axis. This indicates that the motion inside the transformer is even.

It was important to observe a repetitive waveform to validate the accuracy of the data. Note

that the higher frequency component starts at the same point each time on the lower

component.

7.7.4 Summary on Vibration Theory

The use of time waveform analysis can be a valuable aid in condition assessment. This is a

typical example of where a increase in data can lead to more accurate analysis.

It was found that the basic high frequency components are always present. If this can be

determined by comparing a huge number of transformers to each other, a more accurate

waveform will be identified to analyse the measurements against.

Page 148: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

143

The identification of an abnormal condition will become increasingly easier. To be able to

identify the specific cause of the abnormal higher frequency component, it is important to

analyse faulty transformers in detail. The findings must be documented for future

comparisons.

Once the different irregularities are tied to specific causes of failure, it will allow the

maintenance engineer to take preventative action with greater assurance. Immediate action

can be taken without having to open the transformer to find the fault.

One of the great dis-advantages of this method is the amount of data that will be generated

and must be stored. A system must be developed where new data can be used to update the

existing wave profile for a normal transformer. Once the update was done, it can be

discarded after a period of time. It is important not to discard immediately, as this information

will still become necessary during analysis after failure occurred.

The amplitude of the waveform cannot be taken into account when analysing the data, as

this was found to change significantly during periods where current was drawn. It can,

however, be used to compare the change relative to the current that was drawn. As with the

comparison of the oil temperatures, any deviation of note from the normal can be used to

raise alarm with the maintenance engineer.

Constraint during this study was caused by a lack of funding to acquire instrumentation with

analysis capability. These are already available on the market and can be used with

immediate effect by a trained technician.

7.8 Summary Future business needs will dictate the urgency at which advancement into condition

assessment technology will take place. The use of fuzzy logic already makes it possible to

monitor certain parameters as discussed and provide advance warning when failure might

occur. Combining this information with maintenance history, the maintenance engineer can

plan his work with minimum disruptions on the performance of the system.

According to the definition of reliability, as discussed in chapter 3, the system will still

operated as expected, meaning that it will remain a reliable system even when shut down to

perform maintenance.

Page 149: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

144

8 CONCLUSION 8.1 Why sustainable condition monitoring When discussing condition monitoring and the subsequent predictive approach, the following

question comes to mind: what was first, the PM program or emergencies.

During this study, emergency work was analyzed to derive a model for visual inspections.

During a detailed failure mode, effect and criticality analysis this fault data was used to

determine the probability of failure for the equipment in question. The answer to this question

is therefore clear for this study. The need for a predictive approach was created by the high

cost of unscheduled maintenance.

During the study, one common problem was detected when interviewing maintenance

personele, specially the engineer responsible for managing the maintenance budgets. Too

many managers stated that there was no time for predictable maintenance since most of

their time was being consumed by emergency repair. Not only was their time wasted on

unscheduled maintenance, but also their money. And not just their money, but the lost in

production caused far greater losses, which is in most cases not easy to determine.

Most of these managers did, however, realized that if they had an effective and efficient

predictable maintenance plan, they would have had less emergencies. According to Micheal

Brown, 2003 [12][13], most companies can slowly but surely reap the gains of a PM program

by focusing their effort on the work rather than on the idea of a maintenance plan.

8.2 What are the obstacles that prevent sustainability?

The most common perception according to Brown [12], was that the predictable approach

had to be designed and sold from the top down in the company. The financial managers

imposed the requirement of a detailed cost versus benefit analysis on the total program

before it could be approved. The demand for justification is often dictated by the demand for

proof that such a program would work.

The advances in computer technology, according to Brown [12], can, if not implemented

carefully also become an obstacle to the implementation of the approach. Once the software

is approved and purchased at high cost, the drive for the initial data collection often

overshadows the predictable program.

Page 150: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

145

Emergency work always has priority over planned work. If only the concept could be

understood that emergency work is the result of a lack of focus on planned or scheduled

maintenance.

During a survey done by the author under 100 staff members employed by Spoornet in the

technical maintenance environment, 85% resisted change because they believed in the

proven methods. They maintained that any change in the three important strategies would

cause serious reduction in reliability. These strategies, corrective, preventive maintenance

and replacement were used for all applications. [15]

A serious obstacle was found to be the reluctance off staff to complete the required

paperwork to enable the updating of the fault database. Analysis of data captured onto the

system by a typical maintenance depot showed two major problems, lack in consistency of

descriptions and incomplete information.

It was found that the system was to complex with to many possible variations on the

information required. The maintenance staff had to receive intensive training to understand

the information required, but due to the complex forms and administration involved to

complete the input into the database, they did not provide useful information.

The staff capturing this information was not competent to understand the complexity and,

when in doubt, used their own initiative to update the database. During a study, it was found

that out of 19 staff members country wide, only 2 had the relevant electrical experience to

capture the data and understand what they were doing. This was reflected in the accuracy of

the information that was captured by them onto the system. The ability to check the

correctness of the information did not exist and caused a corrupt database that did not really

provide any useful information.

Page 151: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

146

8.3 How to implement a maintenance program.

The implementing of the program should be done step by step, starting at prioritizing the

work. Perform the FMECA to determine the equipment with high probability of failure and

frequent downtime.

Take only the top two or three pieces of equipment and attempt to identify the root cause of

the common failures. A good analysis of the work history can be a good indication of this. If a

lack of information is present, a good brainstorm between experienced staff can help solve

these issues. [2][3]

A maintenance program to focus on these root causes can then be drawn up to prevent it

from occurring.

In this study the top critical equipment was identified and analysed to determine the main

root causes of failure. This was then used to develop a condition assessment strategy for the

equipment. It is important to be able to look at the information and make decisions on the

maintenance requirements.

To enable the proper implementation of a predictable approach, teams must be set up with

two distinct responsibilities. One will react on faults and the other will focus on preventing

these faults from occurring. The maintenance engineer can schedule his teams as per figure

8.1 to allow for the opportunity to focus on predictable maintenance and reducing faults. Red

indicates the period for the team to focus on emergency work while the blue indicated the

focus period on scheduled maintenance.

One team will be responsible for all faults on three sections while the other two can focus on

pro-active maintenance. If this scheduling is strictly implemented and maintained over a

period of time, the number of faults should decrease, allowing for more time to do proper

maintenance.

Page 152: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

147

Team A Team B Team C Week 1 Section 1

Section 2 Section 3

Week 2 Section 1 Section 2 Section 3

Week 3 Section 1 Section 2 Section 3

Week 4 Section 1 Section 2 Section 3

Week 5 Section 1 Section 2 Section 3

Week 6 Section 1 Section 2 Section 3

Figure 8.1 : Team scheduling

8.4 How to sustain the maintenance program. From the previous discussion, it is clear that the most important step that must be taken to

ensure sustainability is to reach an understanding between operations and maintenance.

This includes the following:

o Agree to a common goal for production efficiency.

o Focus on total reliability.

o Solve problems at the root cause without classifying it against departments.

o Include operators in basic inspection activities.

o Agree on priorities of work requests.

o Communicate production plans.

o Create a joint shutdown schedule.

The visual inspection process developed in this study can be used to train operators, such as

train drivers, platelayers and signal personele, to do the basic inspections required to create

a database on the condition of the substations.

With the right focus achieved in the relationship between the operator and the maintainer,

maintenance will not be seen as a service provider, but a deliverer of reliability.

Page 153: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

148

The manager must learn to listen to these good performers and be able to downplay the

negative influence form the others.

The issue of staff competence and adequacy must be addressed. In the past policies were

written to ensure self-regulation by the railway company. These policies must be changed to

allow for external expertise to enter the market and assist where possible. The company

needs to allow itself to employ skills from external sources, and if necessary, from the

international pool of expertise. The tendency to employ people and train them to become

railway specific experts, must be limited to the really minimum.

The identification of tasks that can be performed by people with general electrical skills, will

enable outsourcing of those skills and reduce the staff risk inside the company. Only those

specialized maintenance task will be performed by skilled personele trained specifically for

that.

8.5 Objectives of this study

The objective of this study was to develop a predictive approach to maintenance of traction

substations for the South African conditions. An understanding into the working of a

substation was required to determine the process required.

The critical equipment in a substation was identified through a FMECA analysis. To

determine the condition of the substations a visual inspection process and a conditions

monitoring process was developed.

These were combined to draw up a program outline in fuzzy logic that will assist the

maintenance engineer when making his decisions.

8.6 Future study

The theory on vibration analysis was explored and must be developed in future. Expensive

equipment required to do initial test caused any such study to be halted for now.

The fuzzy logic outline can be used to write a program than can assist the maintenance

engineer on early warnings, decision making and record keeping. Such a program will

require extensive knowledge in database interfacing and programming.

Page 154: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

149

The methodology that was used I this study can be implemented for any equipment, not just

electrical equipment. A future study in the general railway engineering will yield

unprecedented advantages to the industry in South Africa.

The depletion of experienced skills in South Africa must be studied. During this study it was

briefly discussed as a consideration in the visual inspections and the maintenance quality.

The development in sensor technology will make the implementation of the findings much

more cost effective. Ongoing study in the development must take place to take advantage of

any additions to the current ability.

8.7 Final word

Technology can be implemented to reduce the human factor in maintenance, but it will never

replace that input required for proper maintenance. The human maintenance manager must

still take the final decision to believe all the information available and to react.

It will always be a human that must go and do the work and be proud of what he or she did.

Although this study explored ways in reducing human objectivity when making maintenance

decisions, it also proofed that maintenance will always require an experienced input from

skilled staff members.

Recognition must be given to experience, to skills and to loyalty. This will serve as motivation

for the transfer of skills to new generation maintenance engineers.

The perception with South African people, that only a formal tertiary education can bring

success, must change. There will always be a place for skilled labor, artisans and

technicians in this maintenance world. This must start with the national government who

must provide enough financial backing to informal training institutions.

Structures outside the main railway company must be created to encourage an industry in

railways in South Africa. Railway experience should no longer be pinned to a specific group.

The national institutions, regulating the technical industry in South Africa must give

recognition to the railway industry and support growth in this challenging field.

Page 155: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

150

9 BIBLIOGRAPHY

[1] DUN, S. Condition Monitoring in the 21st Century. The Plant Maintenance Resource Centre (Internet). April 2005. (www.plant-maintenance.com/articles/ConMon21stCentury.shtml)

[2] KENNA, AC. Predictive maintenance triggers healthier profit. Summit Media, LLC

(Internet), November 2003. (www.automationworld.com/view-273)

[3] OVERMAN, R. The complimentary roles of reliability-centered maintenance and condition monitoring. Paper presented at 18th International maintenance conference. 2003

[4] DU PLESSIS, JP. Introduction to multi-disciplinary concepts in railway engineering.

D1: Traction power supply. University of Pretoria, Chair in railway engineering. 1999.

[5] BLANCHARD, BS & FABRYCKY, WJ. Systems engineering and analysis. 2nd

Edition. Prentice Hall, Englewood Cliffs. New Jersey. 1990. ISBN 0-13-880758-2. 721 p.

[6] RAMAKUMAR, R. Engineering reliability: fundamentals and applications. Prentice

Hall International, Inc. ISBN 0-13-280512-X. 482 p.

[7] ERIKSSON AJ. The incidence of lightning strikes to power lines. IEEE/PES Winter Meeting, New York, 1986.

[8] MINGLI W, CHENGSHAN X, FAN Y & ZHENG TQ. Performance and mathematical

model of three-phase three-winding transformer used in 2 x 25kV electric railway. IEE Practical Electrical Power Application Vol. 153, March 2006.

[9] JIRUTITIJAROEN P & SINGH CHANAN. The effect of transformer maintenance

parameters on reliability and cost: a probabilistic model. July 2004. www.sciencedirect.com

[10] ENDRENYI J, ANDERS GJ & LEITE DA SILVA AM. Probabilistic evaluation of the

effect of maintenance on reliability – an application. IEEE Transformer Power Systems. Vol 13 (2), p 576-583. 1998.

[11] SINGH C & BILLINTON R. System reliability Modeling and Evaluation. Hutchinson

Educational in London. 1977.

[12] BROWN, MV. Applying Predictive approach. New Standard Institute, Inc. 2003.

[13] BROWN, MV. Building a PM program. New Standard Institute, Inc. 2003.

[14] SPOORNET ENGINEERING INSTRUCTIONS. Traction substations technical assistant handbook. EP.001 Issue 1. 1993. SI(W)2/4/4/3/EP.001. 172p.

[15] SPRONG W. Improving reliability of 3kV DC Traction Substations. Dissertation in

fulfillment of requirements for M.Eng, RAU. 1998.

Page 156: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

151

[16] PETKOON, LJ. Introduction to multi-disciplinary concepts in railway engineering. A1: SPOORNET turning modal differences into opportunities. University of Pretoria, Chair in railway engineering. 1999.

[17] MEYER A & PRETORIUS L. The benefit of using Obsolescence Mitigation

Timelines to manage obsolescence risks af complex or long life systems. COG Conference, June 2005.

[18] BSI Management Systems, “BS 7000-5 Guide to managing obsolescence”,

ISBN 0 0580 38448 9

[19] MEYER A, PRETORIUS L & PRETORIUS JHC. A Model to Manage Electronic Component Obsolescence for Complex or Long Life Systems. Paper presented at the International Engineering Management Conference, 2004.

[20] BOBROW, LS. Fundamentals of electrical engineering. 2nd Edition. Oxford

University Press. Oxford, New York. 1996. ISBN 0-19-510509-5. [903-951] 1163 p.

[21] SPOORNET. 3kv DC Substation Routine Maintenance Manual. November 2002.

[22] IEEE Standard, C57.104-1991. IEEE Guide for the Interpretation of Gasses Generated in Oil-Immersed Transformers.

[23] WILDI, T. Electrical machines, drives, and power systems. 4th Edition. Chapter 11:

Special transformers. Prentice Hall, New Jersey. 2000. ISBN 0-13-082460-7 [225-242] 858 p.

[24] KENNETH J. BROWN. Metal oxide varistor degradation. International Association

for Electrical Inspectors News Magazine (Internet). March 2004 (www.leviton.com/OA_HTML/ibcGetAttachment.jsp?cItemId=23311&label=IBE&app

Name=IBE)

[25] COVINO, MM AND RODGERS, PA AND SMITH, JS AND CLARKSON, JP. Assessing reliability in mechanical systems. Journal of integrated design and process science. June 2000, Volume 4, No. 2: 67 – 84.

[26] BRITISH STANDARD, BS 4778: Glossary of terms used in quality assurance

(including reliability and maintainability). British Standards Institution, London. 1990

[27] BLANCHARD, BS & FABRYCKY, WJ. Systems engineering and analysis. 2nd Edition. Prentice Hall, Englewood Cliffs. New Jersey. 1990. ISBN 0-13-880758-2. 721p.

[28] O’CONNOR, PDT. Practical reliability engineering. 3rd Edition. John Wiley & Sons.

Chichester. 1991. ISBN 0-471-95767-4. 43 p.

[29] VARDEMAN, SB. Statistics for engineering problem solving. PWS Publishing Company, Boston. 1994. ISBN 0-534-92871-4. 811 p.

[30] WALTON, C & MACKINLAY, R. PD Monitoring – A Critical tool for condition-based assessments – partial discharge. Transmission & Distribution World (Internet). December 2003.(http://tdworld.com/mag/power_pd_monitoring_critical)

Page 157: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

152

[31] RAO B.K.N. Handbook on condition monitoring. First edition, Elsevier Advanced Technology, 1996.

[32] R. MOXLEY & ARMANDO GUZMÁN. Transformer Maintenance Interval

Management. Schweitzer Engineering Laboratories, Inc. March 2005.

[33] ZADEH L. Probability measures of fuzzy events. Journal of Mathematical Analyisis and Applications No. 23. p421–427. 1968.

[34] ZADEH L. Knowledge presentation in fuzzy logic. IEEE Transcript of Knowledge and

Data Engineering No.1. p8 –100, 1989.

[35] ZEDEH L. A fuzzy-algorithmic approach to the definition of complex or imprecise concepts. International Journal of Man-Machine Studies No.8, p249-291, 1976.

[36] BALDWIN J.F. Fuzzy logic and fuzzy reasoning. Fuzzy Reasoning and its

Applications. London Academic Press, 1981.

[37] SMITHSON M.J. Applications of fuzzy set concepts to behavioral science. Journal of Mathematical Social Science, p257-274, 1982

[38] SOYLEMEZOGOLU NAZIM. The Logic of Fuzziness.

(http://www.math.havard.edu/~hmb/issue2.1/FUZZY/fuzzy.html)

[39] BRULE JAMES F. Fuzzy Systems – A Tutorial, 1992. (http://www.cgi.cs.smu.edu/afs/cs/project/ai-repository/ai/areas/fuzzy/doc/intro/tutorial.tgz)

[40] BOYD JOHN. Fuzzy Logic Best Summed Up By Common Sense, Japan Times,

1992. (http:///www-cgi.cs.cmu.edu/afs/cs/project/ai-repository/ai/areas/fuzzy/doc/intro/j-times.ltz)

[41] BAUER PETER, NOUAK STEPHAN & WINKLER ROMAN. A brief Course in Fuzzy

Logic and Fuzzy Control, 1996. (http:///www.flll.uni-linz.ac.at/fuzzy/fuzzy.html)

[42] K.P. MARDIRA, T.K. SAHA & R.A. SUTTON. The Effects of Electrical Degradation on the Microstructure of Metal Oxide Varistor. 2001. IEEE 0-7803-7285-9/01

[43] R.B. STANDLER. Protection of Electronic Circuits from Overvoltages. John Wiley &

Sons. Chichester. 1989. ISBN 0-478-76579-3. 138 p.

[44] J. LUNDQUIST, L. STENSTRÖM, A. SHEI & B. HANSEN. New method for measurment of Metal Oxide surge arresters in service.

[45] FACILITIES INSTRUCTIONS, STANDARDS AND TECHNIQUES. FIST 3-30.

Transformer Maintenance. United States Department of the Interior Bureau of Reclamation. October 2000.

[46] STEVEN D KAELHER. Fuzzy logic, an introduction. Seatle Robotics (Internet).

January 1998.(www.patentstorm.us/patents/6853991.html)

[47] TIMOTHY A DUNTON. An Intorduction to time Waveform Analysis.Universal Technologies, Inc. 1999

Page 158: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

153

[48] PAYA P.A. & ESAT I.I. Artificial neural network based fault diagnostics of rotating machinery using Wavelet-transformers as preprocessors. Mechanical Systems and Signal Processing, no.11, 1997.

[49] O’BRAIN J & MACINTYRE J. Wavelets: An alternative to Fourier analysis. Vibration

in Fluid Machinery Seminar, Institution of Mechanical Engineering. November 1994.

[50] RAO J.S. & GUPTA K. Introductory course on theory and practice of mechanical vibrations. Second edition, New age International Publishers Ltd. 1984.

[51] Reeves C.W. The vibration monitoring handbook. First Edition, Coxmoor Publishing,

Oxford, UK.

[52] VAN ES D. & BOTHA M. Measurement and Verification impact assessment report. UCT, October 2006.

Page 159: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

154

10 ANNEXURES 10.1 Substation Logbooks Vooruitsig Date Discription Code

13-Jun-01 Reset substation 2 13-Jun-01 Inspection 3 15-Jun-01 Inspection 3 18-Jun-01 Fill the oil on the OCB's 2 20-Jun-01 Inspection 3 17-Jul-01 Do testing on the OCB's oil 1 26-Jul-01 Site meeting Inspection 4

02-Aug-01 Do maintenance on the track breakers and batteries 1 15-Aug-01 Do maintenance on the transformer and the rectifier 1 17-Aug-01 Inspection 3 23-Aug-01 Inspection 3 31-Aug-01 Inspection 3 03-Sep-01 Take the work permit for private contractor 4 04-Sep-01 Assist private contractor 4 05-Sep-01 Reset substation 2 06-Sep-01 Inspection 3 06-Sep-01 Reset substation 2 07-Sep-01 Assist private contractor 4 13-Sep-01 Call out for low battery voltage 2 14-Sep-01 Call out for low battery voltage, all T/B's off load and eskom power failure 2 15-Sep-01 Refuel plant due to battery voltage low 2 15-Sep-01 Reset substation 2 04-Oct-01 Test W/F 1 10-Oct-01 Take the transformer oil sample with TSS 4 11-Oct-01 Do maintenance on the track breakers and batteries 1 17-Oct-01 Site meeting Inspection with HTSA 4 18-Oct-01 Do maintenance on substation 1 07-Nov-01 Do maintenance on the track breakers and batteries 1 15-Nov-01 Assist private contractor 4 20-Nov-01 Do maintenance on the transformer and the rectifier diodes 1 13-Dec-01 Do maintenance on the track breakers and batteries 1 14-Dec-01 Inspection 3 24-Dec-01 Inspection 3 29-Jan-02 Inspection 3 19-Feb-02 Do maintenance on the track breakers and batteries 1 25-Feb-02 Inspection 3 26-Feb-02 Do maintenance on the transformer and the rectifier 1 01-Mar-02 Inspection 3 13-Mar-02 Call out to faulty substation 2 10-Apr-02 Do repairs on track breaker B45 2 10-Apr-02 Inspection 3 11-Apr-02 Call out to substation 2 12-Apr-02 Do cleaning on Hipot track breakers 2

Page 160: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

155

15-Apr-02 Assist with substation maintenance 4 16-Apr-02 Replace track breaker at substation 2 19-Apr-02 Inspection 3 25-Apr-02 Do maintenance on the track breakers and batteries 1 25-Apr-02 Inspection 3

02-May-02 Fill in substation report book and clean substation yard 1 03-May-02 Inspection 3 10-May-02 Inspection 3 13-May-02 Do maintenance on the transformer and the rectifier 1 05-Jun-02 Do maintenance on the track breakers and batteries 1 06-Jun-02 Inspection 3 21-Jun-02 Inspection 3 25-Jun-02 Do maintenance on the transformer and the rectifier diodes 1 28-Jun-02 Inspection 3 04-Jul-02 Inspection 3 09-Jul-02 Do maintenance on the transformer and rectifier 1 12-Jul-02 Inspection 3 23-Jul-02 Do maintenance on the track breakers and batteries 1

01-Aug-02 Inspection 3 07-Aug-02 Do maintenance on the transformer and the rectifier 1 14-Aug-02 Do maintenance on the track breakers and batteries 1

1 Maintenance on substation 2 Callout or breakdown 3 Inspections 4 Other visits

Page 161: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

156

Heidelberg Date Discription Code

03-Aug-01 Inspection 3 16-Aug-01 Maintenance - schedule A + D 1 17-Aug-01 Inspection 3 31-Aug-01 Inspection 3 13-Sep-01 Call out to substation because breakers went on lock out 2 16-Sep-01 Call out to substation because telecontrol is not working 2 18-Sep-01 Call out to substation because telecontrol is not working 2 19-Sep-01 Check telecontrol 3 09-Oct-01 Maintenance - schedule A + D 1 10-Oct-01 Taking of transformeroil samples 4 15-Oct-01 Call out because train is standing 2 19-Oct-01 Inspection 3 22-Oct-01 Call out because of DC Earth leakage operation 2 25-Oct-01 Inspection 3 31-Oct-01 Call out to substation because telecontrol is not working 2 01-Nov-01 Call out to check trackbreakers 2 02-Nov-01 Call out to substation because telecontrol is not working and train was standing 2 03-Nov-01 Check if substation is still on load 3 06-Nov-01 Inspection 3 07-Nov-01 Call out to close track breaker because telecontrol is not working 2 08-Nov-01 Call out to close track breaker because telecontrol is not working 2 09-Nov-01 Check if substation is still on load and replace line card of telecontrol 2 12-Nov-01 Call out to check substation 2 12-Nov-01 Inspection 3 12-Nov-01 Call out to check substation because it is off load 2 16-Nov-01 Inspection 3 18-Nov-01 Call out to check substation because it is off load 2 29-Nov-01 Maintenance of track breakers, batteries and low voltage panels 1 30-Nov-01 Inspection 3 07-Dec-01 Inspection 3 11-Dec-01 Call out to check substation because it is off load 2 12-Dec-01 Maintenance of rectifier, maintransformer and OCB's 1 13-Dec-01 Call out to check substation because it is off load 2 16-Dec-01 Call out to check substation because it is off load and track breaker failed to close 2 18-Dec-01 Maintenance on track breakers 1 20-Dec-01 Collect substation information 4 21-Dec-01 Inspection 3 24-Dec-01 Inspection 3 27-Dec-01 Inspection 3 28-Dec-01 Do monthly readings 3 04-Jan-02 Inspection 3 06-Jan-02 Call out to check substation because it is off load 2 09-Jan-02 Work on telecontrol 1 10-Jan-02 Maintenance of track breakers, batteries and low voltage panels 1 11-Jan-02 Inspection 3 14-Jan-02 Inspection 3

Page 162: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

157

14-Jan-02 Call out for OCB. Replace no volt coil 2 18-Jan-02 Inspection 3 21-Jan-02 Inspection 3 22-Jan-02 Call out for OCB's. 2 25-Jan-02 Inspection 3 28-Jan-02 Inspection 3 01-Feb-02 Inspection 3 04-Feb-02 Call out to check substation because it is off load 2 08-Feb-02 Inspection 3 10-Feb-02 Inspection 3 15-Feb-02 Inspection 3 18-Feb-02 Maintenance of rectifier, maintransformer and OCB's 1 22-Feb-02 Inspection 3 25-Feb-02 Maintenance of track breakers, batteries and low voltage panels 1 28-Feb-02 Inspection 3 01-Mar-02 Inspection 3 05-Mar-02 Assist Escom in substation 4 08-Mar-02 Inspection 3 13-Mar-02 Maintenance on track breakers 1 15-Mar-02 Inspection 3 15-Apr-02 Maintenance of track breakers, batteries and low voltage panels 1 18-Apr-02 Inspection 3 19-Apr-02 Inspection 3 22-Apr-02 Take out permit for OHTE personel working outside 4 22-Apr-02 Call out for OCB's. 2 25-Apr-02 Inspection 3

02-May-02 Inspection 3 06-May-02 Maintenance of rectifier, maintransformer and OCB's 1 10-May-02 Inspection 3 15-May-02 Call out for OCB's. 2 16-May-02 Maintenance of track breakers, batteries and low voltage panels 1 17-May-02 Inspection 3 24-May-02 Inspection 3 29-May-02 Testing of diodes 1 31-May-02 Inspection 3 03-Jun-02 Inspection 3 07-Jun-02 Inspection 3 12-Jun-02 Maintenance of track breakers, batteries and low voltage panels 1 14-Jun-02 Inspection 3 21-Jun-02 Inspection 3 28-Jun-02 Inspection 3 05-Jul-02 Inspection 3 24-Jul-02 Inspection 3 25-Jul-02 Inspection 3

08-Aug-02 Inspection 3 14-Aug-02 Maintenance of track breakers, batteries and low voltage panels 1 16-Aug-02 Inspection 3

Page 163: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

158

Sprucewell Date Discription Code 02-Aug-01 Ajust OCB closing interlocks 1 08-Aug-01 Working in LT Panel 1 09-Aug-01 Complete Substation report 4 17-Aug-01 Inspection 3 21-Aug-01 Repair Telecontrol - PSU loose 2 22-Aug-01 Maintenance - schedule A + D 1 28-Aug-01 Unit off due to Escom failure 2 30-Aug-01 Check telecontrol and track breakers. Clean substation. 1 30-Aug-01 Inspection by Technical Supervisor. 3 31-Aug-01 Telecontrol is out. 2 31-Aug-01 Inspection and reading on substation 3 03-Sep-01 Repair Telecontrol - PSU (blackbox) faulty 2 10-Sep-01 Work on telecontrol cabinet. Control was advised that there is still a Transtel fault on the line 2 18-Sep-01 Telecontrol is out. 2 19-Sep-01 Telecontrol is out. 2 10-Oct-01 Take oilsamples with contractor of Main Transformer 4 12-Oct-01 Use substation phone to contact control 4 18-Oct-01 Voorsien noodvoedsel 4 19-Oct-01 Point out 6.6kV and 3kV cables 4 20-Oct-01 Track breaker fail to close 2 22-Oct-01 Maintenance - schedule B + C 1 24-Oct-01 Maintenance - schedule A + D 1 25-Oct-01 Inspection 3 05-Nov-01 Search for ladder and stagger guage but could not find any 4 06-Nov-01 Inspection 3 09-Nov-01 Inspection 3 12-Nov-01 Substation off laod 2 12-Nov-01 Inspection 3 14-Nov-01 Maintenance on Track breakers 1 16-Nov-01 Inspection 3 18-Nov-01 Check substation 3 30-Nov-01 Inspection 3 06-Dec-01 Maintenance on Main Transformer, Wavefilter equipment, rectifier and OCB's 1 07-Dec-01 Inspection 3 11-Dec-01 Call out to close track breaker 2 13-Dec-01 Inspection 1 20-Dec-01 Collect substation information 4 21-Dec-01 Inspection 3 24-Dec-01 Inspection 3 26-Dec-01 Call out to check substation 2 27-Dec-01 Inspection 3 28-Dec-01 Do monthly readings 1 31-Dec-01 Inspection 3 04-Jan-02 Inspection 3 07-Jan-02 Maintenance on Track breakers 1 11-Jan-02 Inspection 3

Page 164: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

159

14-Jan-02 Inspection 3 18-Jan-02 Inspection 3 20-Jan-02 Inspection 3 22-Jan-02 Call out for substation that is off laod 2 24-Jan-02 Maintenance on High voltage bays, OCB's and Maintransformer 1 25-Jan-02 Inspection 3 28-Jan-02 Inspection 3 01-Feb-02 Inspection 3 04-Feb-02 Replace fire extinguisher 4 08-Feb-02 Inspection 3 19-Feb-02 Maintenace on Trackbreakers, batteries amd low voltage panels 1 22-Feb-02 Inspection 3 01-Mar-02 Inspection 3 06-Mar-02 Maintenance to Track breakers, batteries and low voltage panels 1 08-Mar-02 Inspection 3 14-Mar-02 Busbar permit to do maintenance on busbars. 1 15-Mar-02 Inspection 3 18-Mar-02 Check functionality of interlocking keys 3 22-Mar-02 Inspection 3 28-Mar-02 Inspection 3 19-Apr-02 Inspection 3 25-Apr-02 Inspection of intruder alarm 2 25-Apr-02 Inspection 3

03-May-02 Inspection 3 09-May-02 Inspection 3 10-May-02 Inspection 3 13-May-02 Maintenance on Track breakers, batteries and low voltage panels 1 17-May-02 Inspection 3 27-May-02 Inspection 3 30-May-02 Testing of diodes 1 31-May-02 Inspection 3 03-Jun-02 Inspection 3 06-Jun-02 Maintenance on Track breakers, batteries and low voltage panels 1 07-Jun-02 Inspection 3 14-Jun-02 Inspection 3 20-Jun-02 Maintenance on High voltage bays, OCB's and Maintransformer 1 21-Jun-02 Inspection 3 28-Jun-02 Inspection 3 03-Jul-02 Remove substation plans for making of copies 4 05-Jul-02 Inspection 3 24-Jul-02 Inspection 3

05-Aug-02 Maintenance on Track breakers, batteries and low voltage panels 1 08-Aug-02 Inspection 3 08-Aug-02 Call out for Escom failure 2 12-Aug-02 Inspection 3 13-Aug-02 Maintenance on High voltage bays, OCB's and Maintransformer 1 13-Aug-02 Inspection 3 16-Aug-02 Inspection 3

Page 165: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

160

Standerton Date Discription Code 03-Aug-01 Inspection 3 17-Aug-01 Inspection 3 20-Aug-01 Assist private contactors at substation 4 21-Aug-01 Assist private contactors at substation 4 22-Aug-01 Assist private contactors at substation 4 23-Aug-01 Assist private contactors at substation 4 23-Aug-01 Inspection 3 24-Aug-01 Assist private contactors at substation 4 24-Aug-01 Inspection 3 28-Aug-01 Inspection of track breakers 3 28-Aug-01 Take out busbar permit to disconnect faulty cable feeding to trackswitch 2 29-Aug-01 Do work on cable in High Voltage yard 2 30-Aug-01 Take out workspermit to find fault on cable 2 31-Aug-01 Take out workspermit to repair cable fault 2 01-Sep-01 Take basbar permit for repairs to 3kV DC cable 2 03-Sep-01 Assist in repairs 4 04-Sep-01 Take basbar permit for repairs to 3kV DC cable 2 05-Sep-01 Take basbar permit for repairs to 3kV DC cable 2 05-Sep-01 Do test work in substation 1 06-Sep-01 Work on the faulty cable 2 06-Sep-01 Assist in with cable permit 2 07-Sep-01 Do work on the feeder cable 2 10-Oct-01 Assist private contactors at substation 4 18-Oct-01 Work on faulty tele and T/B's 2 22-Oct-01 Work on the faulty tele 2 25-Oct-01 Inspection 3 09-Nov-01 Inspection 3 11-Nov-01 Do work in substation which was off load 1 20-Nov-01 Do work on substation 1 21-Nov-01 Replace batteries and switch T/B's locally 2 23-Nov-01 Inspection 3 12-Dec-01 Inspection 3 27-Dec-01 Replace silca gel to the transformer 1 04-Jan-02 Switch on one that failed to close 2 08-Jan-01 Inspection 3 31-Jan-02 Do task A and D in the substation 1 01-Feb-02 Do inspection and readings 3 08-Feb-02 Do inspection and readings 3 14-Feb-02 Do inspection and readings 3 22-Feb-02 Do inspection and readings 3 26-Feb-02 Do task B and C in the substation 1 26-Feb-02 Inspection 3 03-Mar-02 Do repairs on the burnt diodes bank 2 07-Mar-02 Do task A and D in the substation 1 08-Mar-02 Do inspection and readings 3 05-Apr-02 Do inspection and readings 3

Page 166: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

161

12-Apr-02 Inspection 3 16-Apr-02 Do task A and D in the substation 1 19-Apr-02 Inspection 3 22-Apr-02 Do switching in the substation 4 22-Apr-02 Inspection 3 25-Apr-02 Inspection 3

03-May-02 Do inspection and readings 3 15-May-02 Do task A and D in the substation 1 17-May-02 Do inspection and readings 1 20-May-02 Do task B and C in the substation 1 24-May-02 Do inspection and readings 1 30-Jun-02 Calibrate and reclose tripped T/B 2 03-Jul-02 Service the T/B's 2 08-Jul-02 Calibrate the T/B's 2 09-Jul-02 Calibrate the T/B's 2 12-Jul-02 Inspection 3 18-Jul-02 Do inspection and readings 1 30-Jul-02 Take information at substation 4

16-Aug-02 Do inspection and readings 1 19-Aug-02 Service the T/B's and L-T panels 1

105

Page 167: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

162

Perdekop Date Discription Code 05-Aug-01 Do inspection and readings 3 08-Aug-01 Phone control at substation 3 17-Aug-01 Do inspection and readings 3 21-Aug-01 Take 3kV permit out 1 21-Aug-01 Cancel 3kV permit 1 23-Aug-01 Take 3kV permit out 1 01-Oct-01 Take permit for the loose bolt on the transformer 2 02-Oct-01 Do task A and D at substation 1 03-Oct-01 Inspection 3 09-Oct-01 Fill substation report book 1 10-Oct-01 Assist private contractors at substation 4 19-Oct-01 Inspection 3 19-Oct-01 Call out for track breaker failing to close 2 24-Oct-01 Replace electronic closing relay 2 25-Oct-01 Inspection 3 28-Oct-01 Call out for track breaker failed to close 2 28-Oct-01 Assist in changing T/B B61 2 09-Nov-01 Inspection 3 15-Nov-01 Assist at substation 4 16-Nov-01 Inspection 3 06-Dec-01 Repair the tele box LMCU 2 07-Dec-01 Inspect and reset main overcurrent handle 2 12-Dec-01 Call out for faulty tele 2 13-Dec-01 Work on the tele box 2 13-Dec-01 Check tele box 3 19-Dec-01 Work on the tele box 2 29-Dec-01 Call out for track breaker which failed to close and replace latch card on the tele box 2 31-Dec-01 Call out for one unit and T/B B63 failed to close 2 07-Jan-02 Inspection 3 18-Jan-02 Call out for the substation off load 2 23-Jan-02 Check out substation 3 23-Jan-02 Inspection 3 29-Jan-02 Inspection 3 08-Feb-02 Inspection 3 22-Feb-02 Inspection 3 07-Mar-02 Do task A and D at substation 1 08-Mar-02 Inspection 3 13-Mar-02 Put substation on load 2 04-Apr-02 Inspection 3 12-Apr-02 Inspection 3 24-Apr-02 Inspection 3 25-Apr-02 Fill substation report book 1 29-Apr-02 Do task A and D at substation 1

02-May-02 Monitor substation 3 03-May-02 Inspection 3 17-May-02 Tele out of order and find T/B B62 off load 2

Page 168: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

163

24-May-02 Inspection 3 31-May-02 Inspection 3 05-Jun-02 Inspection 3 06-Jun-02 Inspection 3 12-Jun-02 Phone control at substation 4 14-Jun-02 Inspection 3 19-Jun-02 Do task A and D at substation 1 26-Jun-02 Inspection 3 03-Jul-02 Do repairs to telecontrol 2

Page 169: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

164

Beechwick Date Discription Code

15-May-01 inspection 3 21-May-01 Do maintenance on batteries and track breakers 1 26-May-01 Take work permit 1 28-May-01 Do maintenance on the transformer and the rectifier 1 15-Jun-01 inspection 3 20-Jun-01 Do maintenance on T/B's and batteries 1 20-Jul-01 Do reset at substation 2

06-Aug-01 Deliver material at substation 4 07-Aug-01 Do maintenance on T/B's and batteries 1 17-Aug-01 Inspection and do transformer leaks 1 20-Aug-01 Take work permit due to train standing 2 23-Aug-01 Inspection 3 22-Sep-01 Call out for substation off load 2 25-Sep-01 Do maintenance on track breakers 1 10-Oct-01 Take transformer oil sample with TSS 4 15-Nov-01 Do maintenance on track breakers and batteries 1 22-Nov-01 Do maintenance on the transformer and the rectifier 1 24-Jan-02 Inspection 3 29-Jan-02 Inspection 3 04-Feb-02 Do maintenance on the track breakers and batteries 1 01-Mar-02 Inspection 3 05-Mar-02 Do maintenance on the transformer and the rectifier 1 19-Apr-02 Inspection 3 24-Apr-02 Inspection 3 24-Apr-02 Replace phase failure relay at substation 2

09-May-02 Inspection 3 10-May-02 Inspection 3 20-May-02 Do maintenance on the transformer and the rectifier 1 06-Jun-02 Inspection 3 10-Jun-02 Inspection 3 11-Jun-02 Do maintenance on the transformer and the rectifier 1 18-Jun-02 Do maintenance on the track breakers and batteries 1 28-Jun-02 Inspection 3 03-Jul-02 Service the diode bank 1 10-Jul-02 Take the work permit and do repairs at substation 2 24-Jul-02 Take work permit to test the substation 4

01-Aug-02 Inspection 3

Page 170: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

165

10.2 Substation Power Usage Sum of TOTAL-kwh DESCRIPTION MONTH BEECHWICK KRAAL PERDEKOP SPRUCEWELL STANDERTON VOORUITSIG 200104 160285 480800 551118 714440 103275 191314200105 159953 0 566083 817760 77150 187842200106 147659 501200 582476 243600 76390 185122200107 179516 226000 653772 241760 83615 248596200108 188317 233200 683976 418760 104765 240474200109 202121 226800 683751 1340440 83254 202590200110 223290 196800 724812 702520 83425 294292200111 195656 291600 693548 986440 101505 258995200112 169347 210000 619580 1134400 73710 212738200201 136443 218000 574512 704800 67470 213281200202 181297 203200 603543 797920 72585 326950200203 150422 207600 555864 892320 68765 250672

Page 171: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

166

Sum of PEAK-kwh DESCRIPTION MONTH BEECHWICK KRAAL PERDEKOP SPRUCEWELL STANDERTON VOORUITSIG 200104 24207 62000 73404 100120 12430 28932200105 22647 0 74222 96240 7705 25688200106 24388 51200 89374 38480 10765 29713200107 25907 24000 85889 26200 8175 29591200108 30468 26000 109005 50240 12680 43462200109 32146 20800 108844 180440 11214 33063200110 33595 24800 95231 90600 8595 41739200111 26014 34800 93177 131000 10065 35176200112 25269 24800 87308 107440 9710 29200200201 20232 26000 81240 86520 8275 29745200202 28808 20800 88806 107880 9470 48038200203 21539 20000 76981 109000 8865 28272

Page 172: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

167

Sum of STD-kwh DESCRIPTION MONTH BEECHWICK KRAAL PERDEKOP SPRUCEWELL STANDERTON VOORUITSIG 200104 53550 173200 186184 249160 34650 66467200105 51500 0 177906 281160 24000 57329200106 47969 204000 191653 89880 22090 57677200107 53621 76400 202307 87680 28330 81819200108 65597 74800 233463 137680 33635 81171200109 69994 78400 227631 469400 26723 65631200110 80211 63200 244751 253840 32215 97832200111 69307 83200 243940 355120 34495 98931200112 64253 71600 215251 636280 23605 84296200201 41194 56400 173368 246240 20815 63222200202 61164 70800 201475 299280 23545 96318200203 50221 73600 191142 405800 20935 85922

Page 173: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

168

Sum of OFF-kwh DESCRIPTION MONTH BEECHWICK KRAAL PERDEKOP SPRUCEWELL STANDERTON VOORUITSIG 200104 82528 245600 291530 365160 56195 95915200105 85806 0 313955 440360 45445 104825200106 75302 246000 301449 115240 43535 97732200107 99988 125600 365576 127880 47110 137186200108 92252 132400 341508 230840 58450 115841200109 99981 127600 347276 690600 45317 103896200110 109484 108800 384830 358080 42615 154721200111 100335 173600 356431 500320 56945 124888200112 79825 113600 317021 390680 40395 99242200201 75017 135600 319904 372040 38380 120314200202 91325 111600 313262 390760 39570 182594200203 78662 114000 287741 377520 38965 136478

Page 174: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

169

10.3 Substations Condition Assessments

Page 175: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

170

Page 176: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

171

10.4 Electrical Fault list Notifctn Notif.date Time Description FunctLocation Order MalfStrt Malf.end Malf.start MalfEnd Downtime

1000627305 04.04.2004 15:44:07 DLD SUB OFF LOAD C01-L035-UDLD 200797470 07:00:00 18:30:00 04.04.2004 04.04.2004 11.5

1000630771 18.04.2004 16:15:01 ALK SUB GCB L/OUT DU PLOOY PAGE 9790 C01-L030-UAMR 200847688 17:50:00 19:00:00 18.04.2004 18.04.2004 1.17

1000632526 23.04.2004 17:37:33 KU SUB L/OUT V RHYN PAGE 9803 C01-L044-UKU 200790859 17:45:00 23:50:00 22.04.2004 22.04.2004 6.08

1000635273 05.05.2004 05:29:09 TELE FAULTY,PALABORWA-OLIFANT A TRAIN IS C01-L065-UOLF 200790864 05:00:00 14:00:00 05.05.2004 05.05.2004 9

1000635573 05.05.2004 19:27:19 NO INDICATION ON T/B'S. STAFF TO RESET C01-L065-UBSG 200790867 19:40:00 21:30:00 05.05.2004 05.05.2004 1.83

1000636174 08.05.2004 06:51:42 SWITCHING FOR ESC AT PHALABORWA C01-L065-SPBA 200790879 07:45:00 16:00:00 08.05.2004 08.05.2004 8.25

1000639251 18.05.2004 12:57:58 KUDU SUB TELE OUT.HAZYVIEW SUB KEEPS TRI C01-L044-OKU2HZW 200847696 09:40:00 13:25:00 18.05.2004 18.05.2004 3.75

1000640498 21.05.2004 17:22:24 AKORNHOEK,B27 FAULTY,STAFF REPAIR C01-L044-UACH 200805150 11:12:00 15:30:00 21.05.2004 21.05.2004 4.3

1000643384 01.06.2004 22:41:02 WESTAFFIN-MAYFERN IN NELSPRUIT WERF C01-L0NL-ONST2NST 200805158 19:00:00 23:50:00 01.06.2004 01.06.2004 4.83

1000645179 07.06.2004 16:32:41 RIVULETTS U/B L/O C01-L030-URVR 200847699 07:15:08 12:00:40 06.06.2004 06.06.2004 4.76

1000645834 09.06.2004 13:51:09 ONDERVALLE B14 WEIER TOE C01-L030-SONV 13:53:34 00:00:00 09.06.2004 0

1000646344 10.06.2004 14:31:57 ONDERVALLE TELE OUT,B13+B14 FAIL TO R/C C01-L030-SONV 13:45:00 00:00:00 10.06.2004 0

1000646621 11.06.2004 10:33:12 NGODWANA RU FAIL C01-L030-SNGX 10:36:01 00:00:00 11.06.2004 0

1000648759 19.06.2004 16:35:33 WESTAFFEN UITGESLUIT C01-L030-UWFF 200847706 16:35:00 17:00:00 19.06.2004 19.06.2004 0.42

1000650633 27.06.2004 15:59:25 STAFF C/O TO SWITCH 11KV DUE ESC SHUT C01-L030-SNGX 200842646 07:20:00 09:40:00 27.06.2004 27.06.2004 2.33

1000651629 30.06.2004 21:18:18 WESTAFFIN SUB LOCKOUT. C01-L030-SWFF 200842641 19:10:00 21:00:00 30.06.2004 30.06.2004 1.83

1000655818 15.07.2004 23:29:24 IMPALA SUB L/O C01-L035-UMER 200847708 23:29:00 00:30:00 15.07.2004 16.07.2004 1.02

1000658107 24.07.2004 14:49:57 TELE AF LEGOGOTE-NUMBI-KUDU TREINE STAAN C01-L044-OLEG2NUM 200847660 14:49:00 17:00:00 24.07.2004 24.07.2004 2.18

1000658181 24.07.2004 19:41:39 LOW VOLTAGE ACORNHOEK-KLASERIE,STAFF C01-L044-SACH 19:15:00 00:00:00 24.07.2004 0

1000659121 28.07.2004 06:00:06 STAFF C/O TO SWITCH AT LEGOGOTE TO ISOLA C01-L044-OKOL2LEG 200871983 01:05:00 03:30:00 28.07.2004 28.07.2004 0

1000659503 29.07.2004 05:31:40 T/B B20 FAILS AT MKHUHLU.STAFF TO RECLOS C01-L044-UMUL 200847667 05:30:00 07:00:00 29.07.2004 29.07.2004 1.5

1000659725 29.07.2004 21:16:50 KAAP MUIDEN TIE L/OUT.STAFF C/O TO RESET C01-L034-SKM 200847669 21:16:00 22:30:00 29.07.2004 29.07.2004 1.23

1000660032 30.07.2004 18:06:10 WESTAFFIN RU LO C01-L030-UWFF 200847753 18:00:00 18:30:00 30.07.2004 30.07.2004 0.5

1000660177 31.07.2004 18:09:50 RIVULETS SUB L/O BATT BANK FAULTY STAFF C01-L030-SRVR 200842658 18:09:00 19:00:00 31.07.2004 31.07.2004 0.85

1000660336 02.08.2004 05:51:55 IMPALA SUB LO C01-L035-UIAL 200847751 05:51:00 06:30:00 02.08.2004 02.08.2004 0.65

1000663032 11.08.2004 07:54:44 NGODWANA 3KV SUB L/OUT.SCHLEICH CALLED C01-L030-SNGX 07:40:00 00:00:00 11.08.2004 0

1000667804 18.08.2004 16:47:05 WESTAFFIN L/O STAFF RESET C01-L030-UWFF 200842190 16:47:00 17:30:00 18.08.2004 18.08.2004 0

1000673349 02.09.2004 09:58:03 ESC OFF FROM KROKODIL TO MBUMBA,DUE TO C01-L044-UKU 09:18:00 00:00:00 02.09.2004 0

Page 177: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

172

1000673365 02.09.2004 10:26:54 WATERVAL ONDER OCB, NO INDICATION C01-L030-SWVO 10:30:00 00:00:00 02.09.2004 0

1000673545 03.09.2004 05:14:41 ACORNHOEK SUB LOCKOUT. C01-L044-UACH 200842117 15:00:00 16:05:00 02.09.2004 02.09.2004 1.08

1000725114 13.09.2004 19:39:23 PALABORWA M/L45/5 DRAAD SPARK C01-L065-UPBA 200843811 20:15:00 21:00:00 13.09.2004 13.09.2004 0.75

1000769739 17.09.2004 08:46:16 AIRLIE SUB L/OUT,STAFF FOUND 11KV FUSE C01-L030-SARL 07:00:00 00:00:00 17.09.2004 0

1000769865 17.09.2004 17:31:47 AIRLIE SUB LOCKOUT. C01-L030-SARL 15:00:14 00:00:00 17.09.2004 0

1000770176 19.09.2004 18:03:53 BOULDERS SUB LOCKOUT. C01-L034-SBLD 19:26:34 00:00:00 18.09.2004 0

1000770211 20.09.2004 04:55:24 NUMBI BB05 FAIL. TELE FAULTY. LEGOGOTE C01-L044-UNUM 200908664 04:55:00 07:05:00 20.09.2004 20.09.2004 2.17

1000771786 23.09.2004 05:08:00 NUMBI BB05 FAIL. TELE FAULTY. LEGOGOTE C01-L044-UNUM 200908672 05:08:00 08:18:00 23.09.2004 23.09.2004 3.17

1000772153 24.09.2004 20:17:18 T/B'S TRIPPED MBUMBA--ROLLE,NO TRAINS IN C01-L044-URLE 200871992 08:00:00 12:15:00 27.09.2004 27.09.2004 4.25

1000772154 24.09.2004 20:23:49 TELE OUT NUMBI SUB.TRAIN STANDIN IN SECT C01-L044-OLEG2NUM 200908682 15:25:00 16:30:00 24.09.2004 24.09.2004 1.08

1000772440 26.09.2004 15:58:13 LEGOGOTE-NUMBI TREIN STAAN TELE AF C01-L044-UNUM 200908678 15:58:00 18:10:00 26.09.2004 26.09.2004 2.2

1000772455 26.09.2004 18:36:03 TELE OUT NUMBI SUB.TRAIN STANDIN IN SECT C01-L044-UNUM 200908692 20:55:00 23:00:00 24.09.2004 24.09.2004 2.08

1000772465 26.09.2004 19:09:02 TELE OUT NUMBI SUB.TRAIN STANDIN IN SECT C01-L044-UNUM 200908685 19:09:00 21:15:00 26.09.2004 26.09.2004 2.1

1000772641 27.09.2004 09:32:46 NUMDI TREIN STAAN C01-L044-OLEG2NUM 06:07:53 07:10:24 27.09.2004 27.09.2004 1.04

1000773665 29.09.2004 05:05:38 AIRLIE SUB L/OUT.STAFF C/O TO RESET. C01-L030-SARL 04:50:00 00:00:00 29.09.2004 0

1000774620 02.10.2004 06:16:56 AIRLIE SUB L/OUT.STAFF C/O TO RESET. C01-L030-SARL 06:17:24 00:00:00 02.10.2004 0

1000775209 04.10.2004 17:37:38 EWESTAFFIN SUB L/OUT.STAFF C/O TO RESET C01-L030-UWFF 200908718 17:10:00 18:30:00 04.10.2004 04.10.2004 1.33

1000776454 07.10.2004 16:40:02 NUMBI BB05 FAIL. TELE FAULTY. LEGOGOTE C01-L044-UNUM 200908272 16:30:00 18:00:00 07.10.2004 07.10.2004 1.5

1000776579 08.10.2004 05:15:33 WESTAFFINRU L/OUT.STAFF C/O TO RESET C01-L044-UNUM 200908285 15:00:00 15:30:00 08.10.2004 08.10.2004 0.5

1000777118 11.10.2004 04:55:07 ALKMAAR SUB LOCKOUT. C01-L030-UAMR 200908704 07:00:00 08:30:00 10.10.2004 10.10.2004 1.5

1000779488 16.10.2004 19:00:54 VIENA B41 FAILS TO RECLOSE,STAFF C/O TO C01-L065-UVIN 200871957 14:35:00 16:25:00 15.10.2004 15.10.2004 1.83

1000779632 17.10.2004 18:10:01 WESTAFFIN,OCB FAILS RECLOSE,STAFF TO R/C C01-L030-UWFF 200908731 06:00:00 06:30:00 17.10.2004 17.10.2004 0.5

1000779636 17.10.2004 18:19:41 MKHUHLU,OCB FAILS R/C.STAFF C/O TO RESET C01-L044-UMUL 200908737 15:45:00 18:00:00 17.10.2004 17.10.2004 2.25

1000781043 19.10.2004 15:35:32 GRANIETPOORT KARINO ESC FAIL. C01-L034-SGRP 12:48:18 00:00:00 19.10.2004 0

1000782838 25.10.2004 17:49:26 TELE OUT NUMBI,STAFF C/O TO RESET T/B'S C01-L044-UNUM 200908255 17:49:00 19:59:00 25.10.2004 25.10.2004 2.17

1000782918 26.10.2004 05:35:16 NUMBI 3KV FAIL. TELE UIT. C01-L044-UNUM 200908695 05:35:00 07:45:00 26.10.2004 26.10.2004 2.17

1000783736 26.10.2004 12:56:49 TELE OUT NUMBI,STAFF C/O TO RESET T/B'S C01-L044-UNUM 200908263 12:56:00 13:45:00 26.10.2004 26.10.2004 0.82

1000784471 28.10.2004 12:49:21 3LEGOGOTE CABLE BLOWN ON T/B B03 C01-L044-OLEG2NUM 200910112 07:30:00 16:00:00 25.10.2004 27.10.2004 56.5

1000785098 31.10.2004 16:37:24 WESTAFFIN SUB L/OUT,STAFF C/O TO RESET C01-L030-SWFF 07:00:00 10:00:00 30.10.2004 30.10.2004 3

1000785100 31.10.2004 16:44:47 WESTAFFIN SUB L/OUT,STAFF C/O TO RESET C01-L030-SWFF 12:00:00 14:30:00 30.10.2004 30.10.2004 2.5

1000788005 07.11.2004 14:25:57 TENBOSCH 3KV FAIL. TELE UIT. C01-L035-STCH 200932776 10:42:19 11:20:00 07.11.2004 07.11.2004 0.63

1000788180 08.11.2004 08:17:22 ACORNHOEK SUB TELE FAULTY. C01-L044-UACH 200908162 08:40:00 12:00:00 08.11.2004 08.11.2004 3.33

Page 178: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

173

1000788728 08.11.2004 21:59:41 WESTAFFIN L/O C01-L030-SWFF 200932751 17:50:42 21:42:20 08.11.2004 08.11.2004 3.86

1000788732 08.11.2004 22:30:18 NGODWANA L/O C01-L030-UNGX 17:55:34 19:06:03 08.11.2004 08.11.2004 1.17

1000788758 09.11.2004 05:22:08 WESTAFFIN L/O C01-L030-UWFF 200932742 05:22:00 05:47:00 09.11.2004 09.11.2004 0.42

1000788982 09.11.2004 14:44:50 ALTHORPE SUB LOCKOUT. C01-L035-UALT 200889907 13:36:29 00:00:00 09.11.2004 0

1000790157 11.11.2004 04:43:17 IREACH SUB L.O C01-L044-UIRG 200905666 05:00:00 09:10:00 11.11.2004 11.11.2004 4.17

1000791215 13.11.2004 12:26:32 MBUMBA SUB L/O-ACORHOEK SUB TELE UIT C01-L044-UMUM 200932761 04:00:00 08:50:00 13.11.2004 13.11.2004 4.83

1000791219 13.11.2004 12:53:34 MBUMBA--TOT--NUMBE E.S.C 132KV AF C01-L044-SMUM 06:57:00 10:15:00 13.11.2004 13.11.2004 3.3

1000791239 13.11.2004 13:29:47 NUMBI+H/VIEW C01-L044-SNUM 200912494 13:29:00 15:39:00 13.11.2004 13.11.2004 2.17

1000791341 14.11.2004 13:09:38 WESTAFFIN SUB L/O C01-L030-SWFF 200912572 13:09:00 13:39:00 14.11.2004 14.11.2004 0.5

1000791484 14.11.2004 16:44:53 KROKIDIL SUB L/O C01-L044-SKOL 200912509 16:44:00 18:54:00 14.11.2004 14.11.2004 2.17

1000791559 15.11.2004 05:08:38 WATERVALBOVEN NOODWANA 3KV.FAIL. ESC C01-L030-SWTB 200932784 18:20:25 18:21:00 14.11.2004 14.11.2004 0.01

1000791581 15.11.2004 05:52:19 LEGOGOTE 3KV CABLE FAULT. TS.15 C01-L044-OKOL2LEG 200905453 21:30:01 00:30:00 14.11.2004 15.11.2004 3

1000791656 15.11.2004 09:10:35 TELE OUT,TRAINS STANDING,STAFF C/O IREAH C01-L044-UMUL 200932781 09:20:00 13:45:00 15.11.2004 15.11.2004 4.42

1000792070 15.11.2004 21:38:13 C01-L044-SACH 21:39:02 00:00:00 15.11.2004 0

1000792147 16.11.2004 06:19:21 ACORNHOEK OCB WEIERTOE C01-L044-SACH 200932767 06:00:00 08:41:41 16.11.2004 16.11.2004 2.69

1000792295 16.11.2004 10:16:50 MBUMBA- WEIER TOE.DC EARTH C01-L044-SMUM 08:46:18 10:31:47 16.11.2004 16.11.2004 1.76

1000792419 16.11.2004 15:13:44 MBUMBA- WEIER TOE.DC EARTH C01-L044-UMUM 200932796 08:45:00 10:10:00 16.11.2004 16.11.2004 1.42

1000792464 16.11.2004 16:17:27 LEGOGOTE-NUMBI TRAINS STANDING,W/P AT LE C01-L044-SLEG 200932788 13:39:00 15:35:00 16.11.2004 16.11.2004 1.93

1000793388 18.11.2004 23:32:32 LEGOGOTE 3KV CABLE FAULT. TS.15 C01-L044-OKOL2LEG 200932614 07:30:00 14:30:00 22.11.2004 25.11.2004 0

1000794031 21.11.2004 15:52:22 IREIGH SUB TELE OFF STAFF TO RESET C01-L044-UIRG 200932798 13:14:01 15:54:22 21.11.2004 21.11.2004 2.67

1000794096 21.11.2004 17:15:44 NGODDWANA SUB L/O C01-L030-SNGX 17:16:33 00:00:00 21.11.2004 0

1000795493 23.11.2004 05:29:57 REPORT OF SPARKS+ FLAMES IN RIVULETTS SU C01-L030-SRVR 01:25:00 03:00:00 23.11.2004 23.11.2004 1.58

1000796818 25.11.2004 15:44:50 L030-SNGX-Sub,L/OBatt-u b/loader tripped C01-L030-SNGX 200908155 18:00:00 20:00:00 08.11.2004 08.11.2004 2

1000798453 30.11.2004 13:02:17 TENBOSCH TRAINS ARE STANDING.STAFF C/O C01-L035-ODLD2TCH 200926020 13:15:00 15:30:00 30.11.2004 30.11.2004 2.25

1000798659 01.12.2004 05:34:51 NGODWANA ONTSPORING 1TROK C01-L030-ONGX2EK 200926028 05:20:00 07:20:00 01.12.2004 01.12.2004 2

1000798750 01.12.2004 10:04:10 KROKODIL 3KV FAIL. TELE UIT. (ROETS) C01-L044-UKOL 200932665 11:55:00 15:05:00 01.12.2004 01.12.2004 3.17

1000799063 01.12.2004 20:08:49 IREAH-ROLLE 3KV LAAG HERSTEL BREKERS C01-L044-URLE 200932672 20:10:00 21:15:00 01.12.2004 01.12.2004 1.08

1000799477 02.12.2004 23:53:11 MIRB -MKHUHLU 3KV AF C01-L044-UMUL 200926017 00:00:00 09:10:00 02.12.2004 03.12.2004 33.17

1000799656 03.12.2004 12:00:25 KROKODIL SUB L/OUT,STAFF C/O TO RESET C01-L044-SKOL 200925971 12:50:00 16:00:00 03.12.2004 03.12.2004 3.17

1000800050 04.12.2004 17:23:55 WESTAFFIN SUB L/OUT,STAFF C/O TO RESET C01-L030-SWFF 200925988 17:15:00 23:15:00 04.12.2004 04.12.2004 6

1000800213 05.12.2004 16:55:52 TELE OUT,REF283554,STAFF C/O TO RESET AL C01-L034-SKM 200926002 18:55:00 01:00:00 05.12.2004 06.12.2004 6.08

1000801193 07.12.2004 14:27:11 TELE OUT ACORNHOEK+KLASERIE,STAFF C/O C01-L044-SACH 200925911 08:30:00 10:00:00 07.12.2004 07.12.2004 1.5

Page 179: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

174

1000801281 07.12.2004 17:58:53 KROKODIL TO MBUMBA ESC 132KV FAILED,STAF C01-L044-SMUL 200925951 18:45:00 23:50:00 07.12.2004 07.12.2004 5.08

1000801282 07.12.2004 18:03:04 LOW VOLTAGE NGODWANA STAFF TO RESET C01-L030-OARL2NGX 200934132 18:03:00 19:33:00 07.12.2004 07.12.2004 1.5

1000801822 09.12.2004 14:59:19 STAFF C/O TO IREAGH RELAY RM 110 OFF C01-L044-SIRG 200925981 18:24:00 19:05:00 03.12.2004 03.12.2004 0.68

1000801953 10.12.2004 08:22:08 PALABORWA-KLASERIE+ACORNHOEK TELE+3KVLAA C01-L044-UIRG 200927133 08:20:00 11:05:00 10.12.2004 10.12.2004 2.75

1000802495 13.12.2004 05:31:07 ACORNHOEK SUB L/OUT,STAFF C/OUT TO RESET C01-L044-UACH 200927136 09:35:00 10:00:00 13.12.2004 13.12.2004 0.42

1000802838 13.12.2004 16:05:34 KROKODIL SUB LOCKOUT. C01-L044-SKOL 200927124 14:15:04 17:15:00 13.12.2004 13.12.2004 3

1000803060 14.12.2004 10:19:39 ROLLE-HAZYVIEW TELE AF TREINE STAAN C01-L044-UHZW 200927129 10:00:00 11:10:00 14.12.2004 14.12.2004 1.17

1000803250 14.12.2004 15:34:03 KROKODIL L/O-LEGOGOTE TELE AF C01-L044-OKOL2LEG 200927095 07:30:00 12:30:00 15.12.2004 15.12.2004 5

1000803327 15.12.2004 05:03:15 TELE OUT WATER VAL BO,11KV TRIPPED,STAFF C01-L030-SWTB 200927119 18:45:00 21:00:00 14.12.2004 14.12.2004 2.25

1000804243 18.12.2004 17:00:03 RIVULETS MAYFERN 3KV FAIL. C01-L030-SRVR 200927088 16:40:00 20:10:00 18.12.2004 18.12.2004 3.5

1000804290 19.12.2004 12:40:08 PALMLOOP SUB LOCKOUT. C01-L065-UPLP 200927139 07:30:00 09:00:00 21.12.2004 21.12.2004 1.5

1000806342 27.12.2004 17:27:57 TELE OUT,KROKODIL SUB L/OUT C01-L044-SKOL 200931346 15:50:00 19:00:00 27.12.2004 27.12.2004 3.17

1000806525 28.12.2004 09:50:40 WESTAFFIN OCB L/OUT,STAFF C/O TO RESET C01-L030-OWFF2MYN 200931917 10:30:00 11:45:00 24.12.2004 24.12.2004 1.25

1000807659 02.01.2005 19:28:09 WESTAFFIN OCB L/OUT,STAFF C/O TO RESET C01-L030-OWFF2MYN 200931934 06:40:00 09:00:00 02.01.2005 02.01.2005 0

1000807662 02.01.2005 19:30:18 BRAKSPRUITBRUG TELE OUT/GVB COMPLAINS C01-L065-UBSG 200931943 06:45:00 09:45:00 02.01.2005 02.01.2005 3

1000807778 03.01.2005 07:44:50 LEGOGOTE SUB TELE UIT C01-L044-ULEG 200931941 07:50:00 14:10:00 03.01.2005 03.01.2005 6.33

1000808720 05.01.2005 04:16:15 HAZYVIEW SUB TRIPPED,TELE FAIL .STAFF R/ C01-L044-UHZW 200933930 18:00:00 20:55:00 04.01.2005 04.01.2005 2.92

1000808722 05.01.2005 04:25:56 KUDU SUB TELE OUT,STAFF FOUND SUB OFF C01-L044-UKU 200942292 20:55:00 23:30:00 04.01.2005 04.01.2005 2.58

1000809209 05.01.2005 16:40:45 KOMATIE WERF. TREINE STAAN C01-L035-GKTR 200933943 12:02:00 15:30:00 05.01.2005 05.01.2005 3.47

1000811202 11.01.2005 16:35:34 LEGOGOTE TELE FAULTY. C01-L044-ULEG 200934058 07:00:00 12:40:00 13.01.2005 13.01.2005 5.67

1000811297 12.01.2005 05:47:08 VIENA-BRAKSPRUIT 3V AF.COMMS REF300784 C01-L065-UPLP 200934064 20:25:00 20:50:00 11.01.2005 11.01.2005 0.42

1000813101 16.01.2005 15:44:11 WESTAFFIN RU FAIL TO CLOSE. C01-L030-SWFF 200933981 07:00:21 09:30:00 16.01.2005 16.01.2005 2.49

1000814400 17.01.2005 14:58:09 VIENA ACORNHOEK ATTEND TO TELE. C01-L065-UVIN 200942282 14:10:00 15:05:00 17.01.2005 17.01.2005 0.92

1000816485 23.01.2005 20:26:18 ELANDSHOEK RIVULETTS 3KV FAIL. BOOM OOR C01-L030-SEK 200940069 07:30:00 15:00:00 24.01.2005 24.01.2005 7.5

1000817464 25.01.2005 14:25:03 ALTHORPE SUB L/O C01-L035-OKM2ALT 200946191 17:00:10 10:49:52 24.01.2005 25.01.2005 17.83

1000817511 25.01.2005 16:17:33 BOULDERS3KV L/O+11KV V15 FAIL C01-L034-OBLD2KM 200945072 22:30:00 23:10:00 25.01.2005 25.01.2005 0

1000817537 25.01.2005 17:26:31 PALMLOOP-BRAKSPRUITBRUG LAE-SPAANING C01-L065-UPLP 200946218 11:00:00 13:45:00 26.01.2005 26.01.2005 2.75

1000817600 26.01.2005 05:05:46 KAAPMUIDEN 3KV FAIL. C01-L044-OKM2KOL 200946200 23:10:00 00:10:00 26.01.2005 27.01.2005 1

1000818311 28.01.2005 08:09:37 ONDERVALLE B16 FOULTY REPLACE ECR C01-L030-SONV 200945057 07:00:38 08:11:59 28.01.2005 28.01.2005 1.19

1000818607 29.01.2005 06:44:05 IMPALA SUB L/O C01-L035-SIAL 200946223 17:35:00 19:20:00 28.01.2005 28.01.2005 1.75

1000818613 29.01.2005 07:44:10 WATERVALBOVEN SUB L/O C01-L030-SWBW 200946229 07:30:00 10:00:00 29.01.2005 29.01.2005 2.5

1000818863 30.01.2005 17:59:57 PALMLOOP SUB L/O C01-L065-UPLP 200946221 18:34:00 19:55:00 29.01.2005 29.01.2005 1.35

Page 180: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

175

1000824391 11.02.2005 23:21:28 KUDU NUMBI TELE UIT. 3KV FAIL. C01-L044-ONUM2KU 200951298 17:55:16 23:00:00 11.02.2005 11.02.2005 5.08

1000824459 12.02.2005 07:24:27 KUDU +NUMBI SUB L/O..TRANSTEL AF C01-L044-UNUM 200950932 11:25:00 14:10:00 11.02.2005 11.02.2005 2.75

1000824716 13.02.2005 18:34:53 LEGOGOTE KROKODIL 3KV. FAIL. TELE OUT. C01-L044-OLEG2NUM 200951307 18:12:35 23:15:00 13.02.2005 13.02.2005 5.04

1000825404 15.02.2005 08:26:47 KUDU-LEGOGOTE 3KV AF TELE AF C01-L044-UHZW 200951316 07:30:16 16:31:21 14.02.2005 14.02.2005 9.02

1000825847 16.02.2005 05:07:30 NUMBI TELE OUT. 3KV. FAIL. LEGOGOTE ESC C01-L044-SNUM 200955767 05:07:00 06:15:00 16.02.2005 16.02.2005 1.13

1000829365 24.02.2005 08:52:06 ALTHORPE RU FAIL TO CLOSE C01-L035-UALT 200964655 08:52:00 10:22:00 24.02.2005 24.02.2005 1.5

1000830426 25.02.2005 15:09:15 11KV AF WATERVAL BOVEN-NGODWANA C01-L030-UWTB 200979249 16:30:00 18:30:00 25.02.2005 25.02.2005 2

1000830708 26.02.2005 15:17:05 NUMBI B07 FAIL TO CLOSE. KUDU TELE OUT. C01-L044-SNUM 200964652 15:17:00 16:37:00 26.02.2005 26.02.2005 1.33

1000830751 26.02.2005 18:50:53 KUDU SUB L/O-HAZEYVIEW 3KV AF C01-L044-UKU 200964651 19:29:32 00:30:42 25.02.2005 26.02.2005 5.02

1000831329 28.02.2005 17:03:17 ALTHORPE SUB TELE AF C01-L035-SALT 200960648 17:03:00 18:33:00 28.02.2005 28.02.2005 1.5

1000831623 01.03.2005 12:34:23 BRAKSPRUITBRUG SUB .O.C.B. OOP C01-L065-UBSG 200960746 11:45:00 12:50:00 01.03.2005 01.03.2005 1.08

1000832558 03.03.2005 17:32:07 WATERVAL BOVEN SUB LOCKOUT. C01-L030-SWTB 200960642 17:30:00 18:00:00 03.03.2005 03.03.2005 0.5

1000833180 06.03.2005 15:51:48 IREAGH SUB L/O C01-L044-UIRG 200960656 07:20:00 09:45:00 04.03.2005 04.03.2005 2.42

1000833182 06.03.2005 16:00:47 WESTAFFIN SUB L/O C01-L030-SWFF 200960651 07:15:00 00:00:00 06.03.2005 0

1000835418 14.03.2005 13:04:10 HAZYVIEW B16 WEIER TOE. C01-L044-UHZW 200964624 08:15:00 11:10:00 14.03.2005 14.03.2005 2.92

1000835436 14.03.2005 14:13:44 OLIFANTS SUB NOINDICATION. POWER SUPPLY C01-L065-UPBA 200964607 11:10:00 13:50:00 14.03.2005 14.03.2005 2.67

1000836392 17.03.2005 14:37:13 GRANIETPOORT -KARINO 3KV AF C01-L030-OWFF2MYN 200964623 04:00:00 04:20:00 14.03.2005 14.03.2005 0.33

1000836804 19.03.2005 09:36:32 MBUMBA SUB LOCKOUT. C01-L044-UMUM 200964636 10:30:00 12:20:00 19.03.2005 19.03.2005 1.83

1000837229 22.03.2005 08:10:11 KLASERIE SUB LOCK OUT. B32 FAULTY. C01-L044-UKAX 200964641 08:00:00 10:40:00 20.03.2005 20.03.2005 2.67

1000837973 24.03.2005 15:53:09 HAZYVIEW RU OFF LOAD. B16 FAIL TO CLOSE. C01-L044-UHZW 200978961 15:40:35 16:13:00 24.03.2005 24.03.2005 0.54

1000837976 24.03.2005 16:17:43 VIENA SUB TELE UIT. C01-L065-UVIN 200978872 16:20:00 19:30:00 24.03.2005 24.03.2005 3.17

1000838314 27.03.2005 15:12:10 Telecontrol outstatioGRANIETPOORT RU L/O C01-L034-UGRP 200978901 17:00:00 23:30:00 27.03.2005 27.03.2005 6.5

1000839505 01.04.2005 08:09:10 WESTAFFIN SUB LOCK OUT. C01-L030-SWFF 200979250 07:30:00 10:00:00 01.04.2005 01.04.2005 2.5

1000839509 01.04.2005 08:15:23 HAZYVIEWVIENA 3KV FAIL. TELE OUT. C01-L065-SVIN 200978982 07:40:45 10:00:00 01.04.2005 01.04.2005 2.32

1000840912 06.04.2005 14:41:08 MKHUHLU SUB 3KV. CABLE FAULT. C01-L044-SMUL 200978995 07:22:00 16:10:00 07.04.2005 07.04.2005 8.8

1000841725 10.04.2005 15:08:36 VIENA BREKERS OOP C01-L065-UVIN 200979172 07:05:45 11:38:25 10.04.2005 10.04.2005 4.54

1000841906 11.04.2005 09:12:10 HAZEYVIEW SUB T/B16 F.T.C. C01-L044-SHZW 200979163 08:45:00 12:20:00 11.04.2005 11.04.2005 3.58

1000843501 16.04.2005 15:29:42 WATERVALBOVEN L/O C01-L030-UWTB 200979247 08:00:00 16:15:00 16.04.2005 16.04.2005 8.25

1000843692 18.04.2005 05:47:57 WESTAFFIN SUB /O C01-L034-OGRP2BLD 200978842 07:15:00 07:45:00 16.04.2005 16.04.2005 0.5

1000844706 20.04.2005 17:29:29 WESTAFFIN RU FAIL TO CLOSE. C01-L030-SWFF 200979248 14:00:00 16:50:00 20.04.2005 20.04.2005 2.83

1000844712 20.04.2005 17:51:23 DROOGLAND SUB LOCKOUT. LOW GAS. C01-L035-SDLD 200978850 16:30:00 19:45:00 20.04.2005 20.04.2005 3.25

1000845001 21.04.2005 14:22:17 OLIFANTS SUB B50 WEIER TOE. C01-L065-UOLF 200978803 13:32:59 15:08:00 21.04.2005 21.04.2005 1.58

Page 181: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

176

1000847541 03.05.2005 10:43:53 LEGGOGOTE SUB TRF BUSCHING GEBREEK C01-L044-ULEG 200979242 08:50:00 14:00:00 28.04.2005 28.04.2005 5.17

1000849164 09.05.2005 16:09:30 HAZYVIEW MKHUHLU B16 AND B17 FAIL TO CL C01-L044-OHZW2MUL 201008116 14:23:55 15:15:00 09.05.2005 09.05.2005 0.85

1000849364 10.05.2005 15:36:56 WESTAFFIN B34 FAIL TO CLOSE. C01-L030-SWFF 200982541 14:00:00 16:30:00 10.05.2005 10.05.2005 2.5

1000851747 19.05.2005 14:42:58 LEGOGOTE SUB TELE UIT C01-L044-ULEG 200989801 07:40:00 11:30:00 19.05.2005 19.05.2005 3.83

1000851748 19.05.2005 14:45:53 HAZYVIEW SUB TB 14 F.T.C C01-L044-UHZW 200989806 11:30:00 13:15:00 19.05.2005 19.05.2005 1.75

1000852333 23.05.2005 05:55:34 ISOLEER VIR E.S.C BYTENBOCH C01-L035-STCH 200989733 09:09:00 14:20:00 22.05.2005 22.05.2005 5.18

1000852487 23.05.2005 12:33:33 IREAGH SUB LOCKOUT. C01-L044-UIRG 200989725 07:12:03 17:31:00 23.05.2005 23.05.2005 10.32

1000853706 27.05.2005 14:24:46 DROOGLAND SUB L/O C01-L035-UDLD 200989761 04:30:00 09:00:00 28.05.2005 28.05.2005 0

1000854227 30.05.2005 20:05:57 IMPALA LO C01-L035-UIAL 200989751 09:00:00 13:00:00 30.05.2005 30.05.2005 4

1000854863 01.06.2005 17:22:12 ALKMAAR SUB RU FAIL TO CLOSE. C01-L030-SAMR 200993899 17:12:40 18:36:00 01.06.2005 01.06.2005 1.39

1000855038 02.06.2005 14:21:02 WATERVAL BOVEN 3KV CABLE DAMAGED BY CONT C01-L0WB-OWTB2WTB 200991760 12:00:00 15:00:00 03.06.2005 03.06.2005 0

1000855439 04.06.2005 05:11:17 ALKMAAR SUB RU FAIL TO CLOSE. C01-L030-SAMR 200989745 04:30:40 05:04:00 04.06.2005 04.06.2005 0.56

1000855652 05.06.2005 19:04:15 DROOGLAND IMPALA 3KV. FAIL. C01-L035-SDLD 200989755 11:45:47 18:45:00 05.06.2005 05.06.2005 6.99

1000856630 08.06.2005 18:23:47 ALKMAAR EN WESTAFFIN RU FAIL TO CLOSE. C01-L030-SAMR 200993894 08:00:00 14:30:00 08.06.2005 08.06.2005 6.5

1000857376 11.06.2005 19:16:13 MACHADADOR-NGODWANE--E.S.C TOVOER AF C01-L030-UWTB 200992170 14:30:00 15:30:00 10.06.2005 10.06.2005 1

1000860579 24.06.2005 14:57:53 LEGOGOTE SUB RU OFF LOAD. C01 FAIL TO CL C01-L044-ULEG 200996836 14:05:00 15:50:00 24.06.2005 24.06.2005 1.75

1000860879 26.06.2005 17:15:18 KROKODIL--LEGGOTE E.SC. AF C01-L044-ULEG 200996832 13:10:00 16:47:00 26.06.2005 26.06.2005 3.62

1000860906 26.06.2005 21:52:45 WESTAFFIN TB.34 AND TB.35 FAIL TO CLOSE. C01-L030-OWFF2MYN 201003794 20:56:51 21:18:00 26.06.2005 26.06.2005 0.35

1000861473 29.06.2005 07:31:00 MAYFERN SUB L/O C01-L034-OMYN2KNO 201003789 18:06:00 19:45:00 28.06.2005 28.06.2005 1.65

1000862001 30.06.2005 20:53:48 KARINO SUB LOCKOUT. C01-L034-OKNO2GRP 201003811 18:04:13 20:15:00 30.06.2005 30.06.2005 2.18

1000865950 18.07.2005 05:01:22 MAYFERN WESTAFFIN 3KV FAIL. NO TRANSTEL C01-L030-OWFF2MYN 201008016 00:03:12 00:42:00 18.07.2005 18.07.2005 0.65

1000867515 23.07.2005 16:31:31 WESTAFFIN RU L/O BB UNSURE C01-L030-UWFF 201009377 10:00:00 15:00:00 24.07.2005 24.07.2005 5

1000869380 31.07.2005 19:17:23 11KV IMPALA TELE C01-L035-HIAL2KTR 201009365 21:06:29 02:27:47 30.07.2005 31.07.2005 5.36

1000869382 31.07.2005 19:23:22 PALMLOOP-VIENNA TELE AF RESET TOERUSTING C01-L065-UPLP 201009380 06:26:04 11:42:25 31.07.2005 31.07.2005 5.27

1000869721 02.08.2005 06:01:00 NGODWANA-KARINO-GRANIETPOORT TELE C01-L034-UKNO 201026880 07:50:00 12:35:00 02.08.2005 02.08.2005 4.75

1000869751 02.08.2005 08:22:06 ELANDSHOEK 20M NEG RETURN STOLEN. C01-L030-OEK2RVR 201009844 08:00:25 15:00:00 20.07.2005 20.07.2005 6.99

1000870755 06.08.2005 06:09:46 NGODWANE SUB LOCK OUT. C01-L030-ONGX2EK 201026890 16:41:24 17:47:00 05.08.2005 05.08.2005 1.09

1000871199 09.08.2005 05:41:31 ROLLE B23 FAIL TO CLOSE. C01-L044-URLE 201026908 06:00:00 08:25:00 09.08.2005 09.08.2005 2.42

1000873627 20.08.2005 17:17:22 KARINO 3KV CABLE FAULT. C01-L034-OKNO2GRP 201026962 16:25:00 12:00:00 20.08.2005 22.08.2005 43.58

1000875790 30.08.2005 11:04:08 KLASERIE SUB NEG AF C01-L044-UKAX 201026958 08:10:00 13:00:00 02.09.2005 02.09.2005 4.83

1000875900 30.08.2005 17:55:56 ACORNHOEK B31 FAIL TO CLOSE C01-L044-UACH 17:50:56 00:00:00 30.08.2005 0

1000878031 08.09.2005 17:34:16 WESTAFFIN SUB LOCKOUT. C01-L030-SWFF 201034791 10:00:00 11:30:00 08.09.2005 08.09.2005 1.5

Page 182: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

177

1000880326 18.09.2005 17:16:57 MBUMBA SUB L/O C01-L044-UMUM 201034807 15:10:00 17:35:00 18.09.2005 18.09.2005 2.42

1000880671 20.09.2005 07:15:15 ONDERVALLE TIE U,V FAULTY C01-L030-TONV 201034787 07:00:00 16:00:00 20.09.2005 20.09.2005 9

1000881387 23.09.2005 07:39:06 DRAKENSIG-VIENA 3KV LAAG C01-L044-UDRK 201050982 14:35:00 15:00:00 23.09.2005 23.09.2005 0

1000886223 11.10.2005 05:43:06 NUMBI SUB OFF LOAD. NO TELE. C01-L044-SNUM 05:00:39 00:00:00 11.10.2005 0

1000889013 20.10.2005 15:35:17 HOEDSPRUIT 11KV. SWITCHING. C01-L044-SHDT 201050998 07:37:44 07:59:00 20.10.2005 20.10.2005 0.35

1000890122 25.10.2005 07:37:33 NELSPRUIT 3KV. FAIL MAYFERN WESTAFFIN. C01-L034-SNST 201056289 06:01:00 07:01:00 25.10.2005 25.10.2005 1

1000891691 29.10.2005 05:59:53 WESTAFFIN SUB C01 FAIL TO CLOSE.(EDWARD) C01-L030-SWFF 201056272 16:29:00 17:39:00 28.10.2005 28.10.2005 1.17

1000891916 31.10.2005 04:43:25 IMPALA SUB OFF LOAD. TELE FAULTY.(EDWARD C01-L035-SIAL 201056242 16:29:00 19:01:00 28.10.2005 30.10.2005 50.53

1000892288 01.11.2005 04:47:32 WESTAFFIN SUB C01 FAIL TO CLOSE.(EDWARD) C01-L030-SWFF 201056227 20:51:00 21:52:00 31.10.2005 31.10.2005 1.02

1000892340 01.11.2005 07:59:03 LEGGOTE E.S.C. ISOLEER C01-L044-SLEG 201056308 12:40:00 16:35:00 31.10.2005 31.10.2005 3.92

1000893325 03.11.2005 17:27:16 WESTAFFIN SUB L/O C01-L030-SWFF 201055749 17:11:00 18:14:00 03.11.2005 03.11.2005 1.05

1000893327 03.11.2005 17:30:15 WATERVAL BOVEN SUB L/O C01-L030-SWTB 201064150 14:00:00 15:15:00 03.11.2005 03.11.2005 1.25

1000893642 04.11.2005 12:36:21 IMPALA TELE UIT KRAG LAAG C01-L035-SIAL 201065170 11:25:00 12:40:00 04.11.2005 04.11.2005 1.25

1000894013 05.11.2005 08:14:58 RIVULETS TELE OFF POWER LOW C01-L030-SRVR 201064119 07:00:00 11:00:00 06.11.2005 06.11.2005 4

1000894716 07.11.2005 13:55:40 MBUMBA 90M NEG CABLE STOLEN. OB153 ROL C01-L044-ORLE2MUM 201068149 12:00:00 16:10:00 07.11.2005 08.11.2005 28.17

1000895898 10.11.2005 06:51:11 IMPALA SUB LO NO TELE C01-L035-UIAL 201065159 08:40:00 10:20:00 08.11.2005 08.11.2005 1.67

1000895967 10.11.2005 08:27:47 KARINO SUB L ARRESERS FAILTY C01-L034-UKNO 201064059 07:29:00 15:15:00 05.11.2005 05.11.2005 7.77

1000896360 11.11.2005 12:06:24 DRAKENSIG SUB LOCK OUT. C01-L044-UDRK 201068965 09:50:00 12:45:00 11.11.2005 11.11.2005 2.92

1000896610 12.11.2005 19:24:26 OLPHANT-PHALABORWA KRAG LAAG C01-L065-UPLP 201068948 20:00:00 01:30:00 12.11.2005 13.11.2005 5.5

1000897101 14.11.2005 17:09:26 NGODWANA SUB OCB FAIL TO CLOSE. C01-L030-SNGX 201130182 16:00:00 17:45:00 14.11.2005 14.11.2005 1.75

1000898437 19.11.2005 05:29:16 WESTAFFIN OCB. FAIL TO CLOSE. (EDWARD) C01-L030-SWFF 201068081 16:50:20 18:15:00 18.11.2005 18.11.2005 1.41

1000898547 19.11.2005 12:36:41 WESTAFFINSUB L/O C01-L030-SWFF 201068012 12:15:00 15:25:00 19.11.2005 19.11.2005 3.17

1000899713 22.11.2005 17:14:04 WESTAFFINSUB L/O C01-L030-SWFF 201076781 16:11:00 16:40:00 22.11.2005 22.11.2005 0.48

1000899797 23.11.2005 05:07:06 9OLIFANTS PALMLOOP 3KV FAIL. NO TELE. C01-L065-UPLP 201082384 20:00:00 15:00:00 22.11.2005 23.11.2005 19

1000900280 24.11.2005 11:20:44 3KV NUMB1 TELE AF TREINE STAAN C01-L044-SNUM 201083289 10:54:00 14:20:00 24.11.2005 24.11.2005 3.43

1000901329 28.11.2005 08:10:35 PALMLOOP SUB BATT CHARGER FAULTY C01-L065-UPLP 201082381 11:30:00 13:00:00 25.11.2005 26.11.2005 25.5

1000901440 28.11.2005 13:02:58 ROLLE TELE UIT KRAG LAAG C01-L044-SRLE 201082353 13:00:00 18:00:00 28.11.2005 28.11.2005 5

1000902982 30.11.2005 17:04:19 NUMBI KRAG LAAG C01-L044-UNUM 201082362 18:00:00 19:30:00 30.11.2005 30.11.2005 1.5

1000903282 02.12.2005 04:51:13 KROKODIL--MBUMBA E.S.C LYN FOUT C01-L044-UKOL 19:10:00 00:00:00 01.12.2005 0

1000903287 02.12.2005 04:58:21 NUMBI SUBTELE AF SUB T/B OOP C01-L044-UNUM 201082358 05:20:00 07:55:00 02.12.2005 02.12.2005 2.58

1000903366 02.12.2005 12:04:50 HAZYVIEW TO PALMLOOP CHECK ALL SUBS. C01-L065-UPLP 201082366 09:20:00 14:30:00 02.12.2005 02.12.2005 5.17

1000903449 02.12.2005 17:30:29 HAZEYVIEW sub tele out .power low,reset C01-L065-UVIN 201082369 19:20:00 22:00:00 02.12.2005 02.12.2005 2.67

Page 183: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

178

1000903474 02.12.2005 23:57:33 VIENNA TELE OUT RESET SUD C01-L065-UVIN 20:26:55 20:52:37 02.12.2005 02.12.2005 0.43

1000903948 05.12.2005 15:36:58 WATERVAL BOVEN ONDERVALLE 3KV FAIL. C01-L030-SWTB 201085876 10:00:00 11:15:00 05.12.2005 05.12.2005 1.25

1000905506 08.12.2005 04:58:29 KOMATIPOORTSUB L/O C01-L035-UKTR 201085885 07:00:00 16:30:00 08.12.2005 08.12.2005 9.5

1000906256 12.12.2005 05:08:11 WESTAFFIN SUB LOCKUT. C01-L030-SWFF 201098780 08:00:00 10:30:00 12.12.2005 12.12.2005 2.5

1000906707 13.12.2005 05:08:20 RIVULETTS TB.30 AND 31 FAIL TO CLOSE. C01-L030-SRVR 201098771 11:00:00 14:00:00 13.12.2005 13.12.2005 3

1000908395 18.12.2005 13:54:19 KOMATIPOORT SUB B68 ,B69 FAIL TO CLOSE. C01-L035-SKTR 201098733 08:00:00 14:00:00 16.12.2005 16.12.2005 6

1000908398 18.12.2005 14:12:53 KOMATIPOORT SUB LOCKOUT. C01-L035-UKTR 201085882 06:00:00 16:00:00 18.12.2005 18.12.2005 10

1000909414 20.12.2005 21:11:01 W/V/BOVEN SUB L/O C01-L030-GWTB 201098744 10:00:00 10:45:00 20.12.2005 20.12.2005 0.75

1000910065 24.12.2005 17:08:38 RIVULETS T/ OOP C01-L030-SRVR 201089234 16:25:00 18:39:00 24.12.2005 24.12.2005 2.23

1000910068 24.12.2005 17:17:19 BOVEN SUB L/O C01-L030-SWTB 201098790 09:00:00 10:15:00 24.12.2005 24.12.2005 1.25

1000911572 30.12.2005 16:33:59 WESTAFFIN RU LO C01-L030-UWFF 201089397 16:10:28 21:10:00 30.12.2005 30.12.2005 4.99

1000911732 31.12.2005 21:51:56 KOMATIPOORT RU FAIL TO CLOSE C01-L035-UKTR 201089403 21:43:00 01:52:00 31.12.2005 01.01.2006 4.15

1000911791 01.01.2006 19:40:41 PALMLOOP KRAG LAAG C01-L065-UPLP 201089352 19:40:00 03:20:00 01.01.2006 02.01.2006 7.67

1000911949 02.01.2006 21:10:29 WESTAFFIN SUB LO C01-L030-UWFF 201089366 21:11:00 22:21:00 02.01.2006 02.01.2006 1.17

1000912964 06.01.2006 11:37:10 PALMLOOP RU LOCKOUT. TELE OUT. C01-L065-UVIN 201091598 10:15:00 14:30:00 06.01.2006 06.01.2006 4.25

1000914804 12.01.2006 16:03:37 ROLLE 100M SUB NEG. STOLEN. OB.765 C01-L044-ORLE2MUM 201094169 07:22:00 16:10:00 13.01.2006 13.01.2006 8.8

1000915395 15.01.2006 16:10:01 MALELANE SUB RU FAIL TO CLOSE C01-L035-UMER 201091628 15:30:00 20:00:00 15.01.2006 15.01.2006 4.5

1000915439 15.01.2006 16:59:30 WATERVALBOVEN L/O C01-L030-UWTB 201091632 20:15:00 21:00:00 15.01.2006 15.01.2006 0.75

1000915749 16.01.2006 15:42:21 ALKMAAR 3KV SUB LO C01-L030-UAMR 201098403 08:00:00 14:00:00 16.12.2005 16.12.2005 6

1000917319 20.01.2006 05:06:21 PALMLOOP SUB LOCKOUT. C01-L065-UPLP 201095982 08:40:00 11:45:00 20.01.2006 20.01.2006 3.08

1000917644 21.01.2006 06:40:50 3KV KOMATIPOORT BREKERS WEIER TOE C01-L0KT-OKTR2KTR 201098229 11:15:00 14:15:00 21.01.2006 21.01.2006 3

1000917893 23.01.2006 05:28:10 SYCAMORE LO C01-L030-USYC 201098178 17:30:00 22:30:00 23.01.2006 23.01.2006 5

1000917895 23.01.2006 05:34:32 ROLLE KRAG IAAG C01-L044-URLE 201095969 08:45:00 11:10:00 23.01.2006 23.01.2006 2.42

1000919113 25.01.2006 05:38:06 TENBOSCH RU FAIL TO CLOSE C01-L035-UTCH 201098165 08:00:00 17:00:00 25.01.2006 25.01.2006 9

1000919114 25.01.2006 05:39:38 MKHUHLU RU FAIL TO CLOSE C01-L044-UMUL 201095960 05:40:56 10:30:00 25.01.2006 25.01.2006 4.82

1000919418 25.01.2006 16:21:28 SYCAMORE SUB LOCK OUT. C01-L030-SSYC 201098250 16:30:00 22:30:00 25.01.2006 25.01.2006 6

1000919796 26.01.2006 20:32:12 VIANNA B41 FAIL TO CLOSE C01-L065-UVIN 20:28:02 20:52:59 26.01.2006 26.01.2006 0.42

1000919939 27.01.2006 11:05:34 WESTAFFN ALKMAAR 3KV FAIL. B33 BURNT. C01-L030-SWFF 201098202 11:30:28 15:30:00 27.01.2006 27.01.2006 3.99

1000920391 29.01.2006 19:44:18 SYCAMRE SUB L/O C01-L030-SSYC 201098279 08:30:00 15:30:00 27.01.2006 27.01.2006 7

1000921998 02.02.2006 09:58:11 LEGOGOTE TELE UIT C01-L044-ULEG 201100071 12:35:00 18:00:00 31.01.2006 31.01.2006 5.42

1000922234 03.02.2006 07:32:56 SYCAMORE SUB FTC C01-L030-USYC 201099910 13:00:00 14:00:00 03.02.2006 03.02.2006 1

1000922236 03.02.2006 07:52:38 KOMATIPOORT BREKERS OOP C01-L035-UKTR 201099747 07:30:00 14:19:00 03.02.2006 03.02.2006 6.82

Page 184: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

179

1000922572 04.02.2006 05:47:15 KARINO SWITCHING FOR ESC. MAYFERN TELE O C01-L034-SKNO 201099754 14:25:00 16:56:00 03.02.2006 03.02.2006 2.52

1000922573 04.02.2006 05:53:10 ELANDSHOEK SUB LOCKOUT. NGODWANA B25 C01-L030-SEK 201099971 15:30:00 21:00:00 03.02.2006 03.02.2006 5.5

1000922597 04.02.2006 10:22:05 MALELANE SU L/O C01-L035-UMER 201099852 10:14:00 19:05:00 04.02.2006 04.02.2006 8.85

1000922803 05.02.2006 17:17:12 3 KV NGODWANA L/O C01-L030-UNGX 201103907 17:17:01 18:00:00 05.02.2006 05.02.2006 0.72

1000922873 06.02.2006 04:46:35 WESTAFFIN ALKMAAR 3KV FAIL. NO TRANSTEL. C01-L030-SWFF 201099891 23:31:00 00:45:00 05.02.2006 06.02.2006 1.23

1000923366 07.02.2006 13:27:46 PALMLOOP SUB TELEF EN OC.B. OOP C01-L065-UPLP 201103853 09:40:00 13:40:00 07.02.2006 07.02.2006 4

1000924822 10.02.2006 16:25:51 ALKMAAR-WESTAFFEN TREINSTAAN C01-L030-OAMR2WFF 201103902 16:19:00 19:31:00 10.02.2006 10.02.2006 3.2

1000926427 13.02.2006 22:50:31 VIENNA RU FTC B41 C01-L065-UVIN 201105301 22:45:00 01:35:00 13.02.2006 14.02.2006 2.83

1000926665 14.02.2006 14:58:04 HOEDSPRUIT 11KV. SUB TELE FAULTY. C01-L044-SHDT 201105312 12:10:00 15:45:00 14.02.2006 14.02.2006 3.58

1000927096 15.02.2006 20:13:28 PALMLOOP B45 FAIL C01-L065-UPLP 201105281 19:45:00 23:45:00 15.02.2006 15.02.2006 4

1000927105 15.02.2006 20:27:33 MALELANE TREIN STAAN KRAG AF C01-L035-SMME 201105292 19:14:00 02:30:00 15.02.2006 16.02.2006 7.27

1000927108 15.02.2006 20:33:46 GRANIETPOORT KRAG LAAG C01-L034-UGRP 201115940 20:33:00 21:45:00 15.02.2006 15.02.2006 1.2

1000928149 20.02.2006 05:29:26 SYCAORE SUB L/O C01-L030-USYC 201108700 15:20:00 18:29:00 19.02.2006 19.02.2006 3.15

1000929394 22.02.2006 05:24:30 BROHAM- WESTAFIN SUBS L/O TELE AF C01-L030-OAMR2WFF 201108703 22:00:06 24:00:00 21.02.2006 21.02.2006 2

1000929407 22.02.2006 06:40:18 SYCAMORE SUB LO C01-L030-USYC 201110946 13:40:00 15:00:00 22.02.2006 22.02.2006 1.33

1000929408 22.02.2006 06:41:32 PALMLOOPTELE OUT RU OPEN C01-L065-UPLP 201110941 08:00:00 09:50:00 22.02.2006 22.02.2006 1.83

1000930080 24.02.2006 06:03:52 3kv DROOGLAND SUB L/O C01-L035-UDLD 201110918 06:00:00 07:25:00 24.02.2006 24.02.2006 1.42

1000930406 25.02.2006 11:49:01 LEGOGOTE KRAG LAAG C01-L044-ULEG 201110894 12:01:00 16:18:00 25.02.2006 25.02.2006 4.28

1000930631 26.02.2006 16:38:58 HAZEYVIEW-KUDU TELE AF C01-L044-UKU 201110968 08:40:00 10:45:00 26.02.2006 27.02.2006 26.08

1000930699 27.02.2006 05:02:37 KAAPMUIDEN 3KV.FAIL. KROKODIL B.01 OPEN. C01-L034-SKM 201108787 03:15:00 08:00:00 27.02.2006 27.02.2006 4.75

1000930795 27.02.2006 09:30:24 HOEDSPRUIT TELE OFF C01-L044-UHDT 201110974 08:20:00 19:30:00 27.02.2006 28.02.2006 35.17

1000931767 01.03.2006 10:22:08 MBUMBA B26 FTC C01-L044-UMUM 201110992 11:30:00 16:55:00 01.03.2006 01.03.2006 5.42

1000931772 01.03.2006 10:59:15 HECTORSPRUIT BONDS AF C01-L035-OIAL2DLD 201110940 16:30:00 16:00:00 24.02.2006 03.03.2006 167.5

1000932388 03.03.2006 12:28:01 palmloop sub OCB OOP C01-L065-UPLP 201110950 07:35:00 11:05:00 03.03.2006 03.03.2006 3.5

1000932621 04.03.2006 18:09:54 WATERVALBOVEN LO C01-L030-UWTB 201128007 18:15:00 19:15:00 04.03.2006 04.03.2006 1

1000935258 14.03.2006 14:58:48 ALTHORPE SUB SEVEN BATTERIES EXPLODED. S C01-L035-SALT 201127981 08:00:00 13:00:00 14.03.2006 14.03.2006 5

1000935610 15.03.2006 21:13:58 W/V/BOVEN SUB L/O C01-L030-SWTB 201127999 21:30:00 22:15:00 15.03.2006 15.03.2006 0.75

1000936552 16.03.2006 21:16:49 WESTAFFIN SUB O.C.B. L/O C01-L030-SWFF 201118231 21:10:00 00:15:00 16.03.2006 17.03.2006 3.08

1000936862 18.03.2006 06:09:57 WESTAFFIN +MAYFERN 3KV OFF C01-L034-ENST2MYN 201115965 00:50:00 04:10:58 18.03.2006 18.03.2006 3.35

1000937100 19.03.2006 16:30:08 C01-L030-SSYC 201118713 15:40:00 17:00:00 19.03.2006 19.03.2006 1.33

1000937405 20.03.2006 17:04:34 AIRLIE B23 FAIL TO CLOSE. C01-L030-SARL 201135410 17:04:00 18:46:00 20.03.2006 20.03.2006 1.7

1000937414 20.03.2006 17:18:21 WATERVAL BOVEN SUB LOCKOUT. C01-L030-SWTB 201125127 15:29:00 18:15:00 20.03.2006 20.03.2006 2.77

Page 185: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

180

1000937911 22.03.2006 16:36:21 MAYFERN SUB OFF LOAD. NO TRANSTEL. C01-L034-SMYN 201118243 16:25:00 21:10:00 22.03.2006 22.03.2006 4.75

1000938015 23.03.2006 04:27:41 AIRLIE L/O C01-L030-UARL 201127980 07:00:00 12:30:00 23.03.2006 23.03.2006 5.5

1000939156 26.03.2006 16:25:17 PALMLOOP SUB L/O C01-L065-UPLP 201121662 13:00:00 15:25:00 24.03.2006 24.03.2006 2.42

1000939159 26.03.2006 16:31:56 PALMLOOP SUB L/O C01-L065-UPLP 201121678 13:20:00 17:30:00 26.03.2006 26.03.2006 4.17

1000939528 28.03.2006 04:45:05 WESTAFFIN SUB LOCKOUT. C01-L030-SWFF 201121869 21:05:00 21:20:00 27.03.2006 27.03.2006 0.25

1000939529 28.03.2006 04:49:16 NUMBI B07 AND KUDU B11 FAULTY. NO.1 LINE C01-L044-SNUM 201121874 21:20:00 04:45:00 27.03.2006 28.03.2006 7.42

1000939530 28.03.2006 04:52:54 WATERVAL BOVEN SUB LOCKOUT. C01-L030-SWTB 201127991 07:00:00 07:45:00 28.03.2006 28.03.2006 0.75

1000939811 29.03.2006 04:58:48 MAYFERN SUB OFF LOAD. NO TRANSTEL. C01-L034-SMYN 201125102 20:10:00 21:50:00 28.03.2006 28.03.2006 1.67

1000939814 29.03.2006 05:31:33 MAYFERN SUB OFF LOAD. NO TRANSTEL. C01-L034-SMYN 201125087 20:10:00 21:50:00 28.03.2006 28.03.2006 1.67

1000939825 29.03.2006 07:10:51 WESTAFFIN T/B OPEN C01-L030-SWFF 201125094 07:10:00 07:59:00 29.03.2006 29.03.2006 0.82

1000939876 29.03.2006 07:17:37 DROOGLAND SUB T/B OOP..TELE AF C01-L035-SDLD 201121772 01:55:00 11:11:00 29.03.2006 29.03.2006 9.27

1000940741 30.03.2006 04:56:33 MBUMBA SUB LOCKOUT C01-L044-UMUM 201125036 23:00:00 02:30:00 29.03.2006 30.03.2006 3.5

1000940757 30.03.2006 06:56:33 MBUMBA SUB FAIL TO CLOSE C01-L044-UMUM 201125050 08:00:00 12:30:00 30.03.2006 30.03.2006 4.5

1000941059 31.03.2006 04:14:59 PALMLOOP SUB LOCKOUT. C01-L065-UPLP 201125057 18:05:57 21:09:00 30.03.2006 30.03.2006 3.05

1000941740 03.04.2006 13:13:19 RIVULETS OFF LOAD CHARGER FAULTY C01-L030-URVR 201127979 12:30:00 15:30:00 03.04.2006 03.04.2006 3

1000942325 05.04.2006 05:13:49 WATERVAL BOVEN 3KV SUB L/O C01-L030-GWTB 201127988 06:00:00 06:45:00 05.04.2006 05.04.2006 0.75

1000942353 05.04.2006 06:40:44 RIVULETS OFF LOAD CHARGER FAULTY C01-L030-URVR 201128004 07:00:00 10:00:00 05.04.2006 05.04.2006 3

1000944362 10.04.2006 19:03:10 RIVULETS BREAKERS FAIL TO CLOSE C01-L030-URVR 201127676 18:49:00 20:57:00 10.04.2006 10.04.2006 2.13

1000944578 11.04.2006 14:20:51 PALMLOOP SUB LOCKOUT. C01-L065-UPLP 201129773 13:00:00 16:35:00 11.04.2006 11.04.2006 3.58

1000944672 11.04.2006 21:28:12 ALKMAAR SUB NEG STOLEN C01-L030-OAMR2WFF 201128015 21:00:00 22:40:00 11.04.2006 11.04.2006 1.67

1000945905 13.04.2006 15:40:04 KUDU SUB B13 FAIL TO CLOSE. C01-L044-UKU 201129944 08:10:00 13:05:00 13.04.2006 13.04.2006 4.92

1000945907 13.04.2006 15:44:49 HAZYVIEW TELE OUT. C01-L044-UHZW 201129937 13:05:00 13:45:00 13.04.2006 13.04.2006 0.67

1000945908 13.04.2006 15:46:42 PALMLOOP SUB LOCKOUT. C01-L065-UPLP 201129960 15:35:00 20:00:00 13.04.2006 13.04.2006 4.42

1000946041 14.04.2006 12:10:31 W/V/BOVEN SUB L/O C01-L030-GWTB 201135710 12:20:00 13:40:00 14.04.2006 14.04.2006 1.33

1000946042 14.04.2006 12:14:01 LEGOGOTE SUB T/B OOP C01-L044-SLEG 201127725 09:49:00 13:59:00 14.04.2006 14.04.2006 4.17

1000946121 15.04.2006 06:25:00 WATERVAL BOVEN SUB LOCKOUT. C01-L030-SWTB 201135728 07:00:00 07:30:00 14.04.2006 14.04.2006 0.5

1000946262 16.04.2006 16:00:36 W/V/BOVEN UB L/O C01-L030-GWTB 201135733 16:00:00 16:45:00 16.04.2006 16.04.2006 0.75

1000946427 17.04.2006 17:28:59 W/V/BOVEN SUB L/O C01-L0WB-YWTB 201135739 17:30:00 18:15:00 17.04.2006 17.04.2006 0.75

1000946511 18.04.2006 09:26:50 ACORNHOEK SUB NEG STOLEN C01-L044-UACH 201128028 13:20:00 16:30:00 06.04.2006 07.04.2006 27.17

1000946512 18.04.2006 09:33:57 HOEDSPRUIT SUB NEG STOLEN C01-L044-UHDT 201128021 08:00:00 15:10:00 07.04.2006 07.04.2006 7.17

1000946637 18.04.2006 14:09:50 PALMLOOP RU FTC C01-L065-UPLP 201129779 14:00:00 18:00:00 18.04.2006 18.04.2006 4

1000946718 18.04.2006 17:00:13 W/V/BOVEN SUB L/O C01-L030-UWTB 201130143 16:00:00 16:45:00 18.04.2006 18.04.2006 0.75

Page 186: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

181

1000947724 20.04.2006 17:29:37 palmloop sub l/o C01-L065-UPLP 201132744 07:00:00 00:00:00 20.04.2006 0

1000948087 22.04.2006 08:50:02 PALMLOOP RU FTC C01-L065-UPLP 201132745 12:50:00 18:00:00 22.04.2006 22.04.2006 5.17

1000949896 27.04.2006 14:57:17 SYCAMORE SUB TELE OUT POWER LOW C01-L030-USYC 201132613 16:15:00 18:00:00 27.04.2006 27.04.2006 1.75

1000950273 29.04.2006 16:27:55 NGODWANA TB.25 FAIL TO CLOSE. C01-L030-SNGX 201132723 12:30:00 14:30:00 29.04.2006 29.04.2006 2

1000950275 29.04.2006 16:36:02 DROOGLAND TELE OUT. CHECK SUB. C01-L035-SDLD 201132733 14:30:00 18:00:00 29.04.2006 29.04.2006 3.5

1000950400 30.04.2006 18:39:31 PALMLOOP RU FTC C01-L065-UPLP 201149886 07:30:00 12:30:00 30.04.2006 30.04.2006 5

1000950431 01.05.2006 05:16:31 KOMATIEPOORT 3KV SUB LO C01-L035-UKTR 201132728 05:00:00 12:20:00 01.05.2006 01.05.2006 7.33

1000956136 17.05.2006 15:31:36 Sub lock out fan failure C01-L034-SMYN 201149990 15:40:10 18:00:00 16.05.2006 16.05.2006 2.33

1000956347 18.05.2006 11:40:00 HOEDSPRUITSUB L/O C01-L044-UHDT 201147528 16:30:00 00:00:00 18.05.2006 19.05.2006 7.5

1000956438 18.05.2006 17:31:54 OLIPHANT SUB TELE RU FTC C01-L065-UOLF 201149864 07:00:00 19:10:00 20.05.2006 20.05.2006 12.17

1000956924 21.05.2006 15:37:27 Droogland sub no indication C01-L035-SDLD 201147471 07:21:00 12:54:00 21.05.2006 21.05.2006 5.55

1000957143 22.05.2006 10:54:19 OLIFANTS SUB BATTERY CHARGER FAULTY. C01-L065-UOFT 201147696 07:00:00 19:10:00 20.05.2006 20.05.2006 12.17

1000957635 23.05.2006 13:50:16 BREAKER B85 TRIPED C01-L035-UMER 00:00:00 00:00:00 0

1000959771 29.05.2006 07:42:09 ROLLE SUB L/O C01-L044-URLE 201147737 07:20:00 13:25:00 29.05.2006 31.05.2006 54.08

1000960032 30.05.2006 08:39:50 IMPALA SUB T/B OOP C01-L035-SIAL 201147634 07:30:00 14:00:00 29.05.2006 29.05.2006 6.5

1000962294 04.06.2006 15:02:49 WATERVALBOVEN RU FAIL TO CLOSE C01-L030-UWTB 201147679 08:30:46 12:15:00 04.06.2006 04.06.2006 3.74

1000962891 06.06.2006 16:36:39 WATERVALBOVEN SUB LO C01-L030-UWTB 201149981 15:00:00 16:15:00 06.06.2006 06.06.2006 1.25

1000963221 07.06.2006 19:19:16 W/V/BOVEN T/B F.T.C. C01-L030-GWTB 201221273 19:30:00 20:15:00 07.07.2006 07.07.2006 0.75

1000964657 10.06.2006 01:36:35 IMPALA L/OMALELANEB61+DROOGLANDB64 C01-L035-UIAL 201147461 01:00:00 04:00:00 10.06.2006 10.06.2006 3

1000964658 10.06.2006 01:40:20 W/V/BOVEN SUB L/O R/C CUP C01-L030-UWTB 201147454 04:00:00 07:50:00 10.06.2006 10.06.2006 3.83

1000965485 13.06.2006 16:46:25 THEFT ARL C01-L030-SARL 201152681 08:00:00 15:30:00 14.06.2006 15.06.2006 31.5

1000967386 19.06.2006 13:19:33 W/V/ONDER EARTH WIRE STOLEN C01-L030-UWVO 201150047 10:00:00 16:30:00 20.06.2006 20.06.2006 6.5

1000969410 24.06.2006 10:31:34 NGODWANA RU FAIL TO CLOSE C01-L030-UNGX 201152467 10:18:00 12:14:00 24.06.2006 24.06.2006 1.93

1000969704 26.06.2006 10:33:31 ALHORPE L/O C01-L035-UALT 201155569 09:00:00 14:00:00 26.06.2006 26.06.2006 5

1000974602 10.07.2006 13:25:12 HAZEYVIEW SHUNTING IN YARD C01-L044-OKU2HZW 201162986 13:45:00 16:10:00 10.07.2006 10.07.2006 2.42

1000974739 11.07.2006 05:25:16 WATERVALBOVEN SUB L/O C01-L030-UWTB 201162935 20:25:08 23:30:00 10.07.2006 10.07.2006 3.08

1000975362 13.07.2006 08:15:00 ACORNHOEK NEG STOLEN C01-L044-UACH 201162847 08:00:00 18:30:00 13.07.2006 13.07.2006 10.5

1000976334 15.07.2006 01:51:18 NGODWANA C01-L030-OARL2NGX 201163212 02:15:00 04:15:00 15.07.2006 15.07.2006 2

1000976516 16.07.2006 06:52:43 W/V/ONDER+SYCAMOR+ALTHORPE SUBS L/O C01-L030-SWVO 06:57:02 18:00:00 15.07.2006 15.07.2006 11.05

1000976517 16.07.2006 07:08:22 W/V/ONDER+SYCAMOR+ALTHORPE SUBS L/O C01-L030-UNGX 201162857 13:00:00 15:15:00 15.07.2006 15.07.2006 2.25

1000976911 18.07.2006 03:25:00 ALTHORPE SUB LO C01-L035-UALT 201163215 01:00:00 04:30:00 18.07.2006 18.07.2006 3.5

1000976912 18.07.2006 03:29:13 HOEDSPRUIT RU L/O C01-L044-UHDT 201162840 03:30:00 05:40:00 18.07.2006 18.07.2006 2.17

Page 187: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

182

1000977790 18.07.2006 19:06:17 W BOVEN SUB LO C01-L030-UWTB 201163231 11:00:00 11:45:00 18.07.2006 18.07.2006 0.75

1000978114 20.07.2006 06:25:01 WATERVAL BOVEN SUB LO C01-L030-SWTB 201163234 15:30:00 16:15:00 20.07.2006 20.07.2006 0.75

1000978257 20.07.2006 15:33:28 KAAPMUIDEN T/B,S FAIL TO CLOSE C01-L034-TKM 201163221 18:00:00 22:00:00 20.07.2006 20.07.2006 4

1000978264 20.07.2006 16:09:52 IREAGH KRAG BAIE LAAG C01-L044-SIRG 201162834 16:02:00 20:40:00 20.07.2006 20.07.2006 4.63

1000978367 21.07.2006 08:09:58 ELANDSHOEK SUB T/B'S TC C01-L030-OEK2RVR 201172342 08:00:00 12:00:00 28.07.2006 28.07.2006 4

1000978717 23.07.2006 10:04:54 MKHUHLU SUB OPEN TELE NOT WORKING C01-L044-SMUL 201162993 09:42:00 15:00:00 23.07.2006 23.07.2006 5.3

1000978721 23.07.2006 10:29:34 ISOLATE SUB FOR ESC C01-L044-UACH 201172362 09:10:00 17:40:00 23.07.2006 23.07.2006 8.5

1000978725 23.07.2006 10:41:35 WATER VALBOVEN SUB L/O C01-L030-SWTB 201163238 08:00:00 08:45:00 23.07.2006 23.07.2006 0.75

1000978861 24.07.2006 07:13:37 MBUMBA T/B'S FTC C01-L044-SMUM 06:28:00 11:47:03 24.07.2006 24.07.2006 5.32

1000979196 25.07.2006 08:16:04 PHALABORWA 11KV SHUTDOWN FOR ESC C01-L065-UPBA 201172337 07:20:00 07:50:00 23.07.2006 23.07.2006 0.5

1000979200 25.07.2006 08:42:31 PHALABORWA 3KV DC SUB SHUTDOWN FOR ESC C01-L065-UPBA 201172367 06:50:00 19:15:00 23.07.2006 23.07.2006 12.42

1000979210 25.07.2006 08:47:53 MBUMBA T/B'S FTC C01-L044-UMUM 201172354 11:10:00 16:30:00 24.07.2006 28.07.2006 101.33

1000980599 26.07.2006 15:19:24 ALTHORPE SUB RU L/O C01-L035-UALT 201172079 15:13:00 17:35:00 26.07.2006 26.07.2006 2.37

1000980703 27.07.2006 06:58:46 WATERVALBOVEN T/B 10 C01-L030-UWTB 201172401 09:00:00 10:10:00 27.07.2006 27.07.2006 1.17

1000982031 02.08.2006 07:45:49 ALTHORPE SUB LOCK-OUT C01-L035-UALT 201174307 07:30:00 12:00:00 02.08.2006 02.08.2006 4.5

1000982818 02.08.2006 15:20:06 W BOVEN T/B FAIL TO CLOSE C01-L030-UWTB 201174374 12:30:00 13:15:00 02.08.2006 02.08.2006 0.75

1000983065 03.08.2006 11:19:35 W BOVEN T/B FAIL TO CLOSE C01-L030-UWTB 201174385 11:00:00 11:45:00 03.08.2006 03.08.2006 0.75

1000985893 10.08.2006 13:41:47 WEG SWAAT VOERE LGK C01-L044-SMARB 00:00:00 00:00:00 0

1000986468 14.08.2006 07:07:37 RESET WATERVALBOVEN SUB C01-L030-UWTB 201180233 10:00:00 10:45:00 14.08.2006 14.08.2006 0.75

1000988402 17.08.2006 13:39:43 WATERVALBOVEN SUB RU EN T/B/S OPEN C01-L030-UWTB 201180239 13:20:00 14:15:00 17.08.2006 17.08.2006 0.92

1000988499 18.08.2006 02:38:28 WATERVALBOVEN SUB RU EN T/B/S OPEN C01-L030-UWTB 201180245 09:00:00 09:45:00 18.08.2006 18.08.2006 0.75

1000988992 20.08.2006 20:35:38 BOVEN SUB L/O C01-L030-GWTB 201198649 20:30:00 21:15:00 20.08.2006 20.08.2006 0.75

1000990236 23.08.2006 12:32:18 CP068/05:50(SRLE)TB/23 FTC C01-L044-URLE 201177076 05:50:00 07:20:00 23.08.2006 23.08.2006 1.5

1000990901 24.08.2006 16:59:06 CP073/1647(AMR)T/BREAKERS FAIL TO CLOSE C01-L030-UAMR 201179265 16:47:00 00:00:00 24.08.2006 0

1000991248 26.08.2006 06:31:13 CP076/06:27(SAMR) T/B'S FTC C01-L030-SAMR 201176978 06:27:00 09:00:00 28.08.2006 28.08.2006 2.55

1000993278 31.08.2006 15:25:22 CP085/1515ALTHORPE SUB L/O C01-L035-UALT 201180386 15:15:00 18:00:00 31.08.2006 31.08.2006 2.75

1000993820 04.09.2006 04:47:08 CP087/0020(NST)3KV DC OFF NST LOCO&YARD C01-L034-TNST 00:20:00 01:30:00 04.09.2006 04.09.2006 1.17

1000994307 05.09.2006 19:46:25 CP091/1918(IAL)T/B FAIL TOCLOSE C01-L035-UIAL 201185303 19:18:00 21:23:00 05.09.2006 05.09.2006 2.08

1000995961 08.09.2006 13:16:22 CP097/13:11(SKTR)RU FTC C01-L035-SKTR 201198691 13:20:00 18:30:00 08.09.2006 08.09.2006 5.17

1000996283 11.09.2006 04:22:47 CP101/0213WATERVAL ONDER RU TRIPED C01-L030-UWVO 201198680 05:00:00 06:30:40 11.09.2006 11.09.2006 1.51

1000996489 11.09.2006 18:18:05 CP102/1816ALTHORPE SUB LO C01-L035-UALT 201185295 18:11:00 21:10:00 11.09.2006 11.09.2006 2.98

1000996660 12.09.2006 13:30:16 CP105/13:22(SAMR)T/B'S 32&33 FTC C01-L030-SAMR 201197785 13:22:00 15:00:00 12.09.2006 12.09.2006 1.63

Page 188: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

183

1000998289 15.09.2006 10:25:31 CP113/1015(SYC)SYCAMORE NO TELE C01-L030-USYC 201209667 08:00:00 09:15:00 15.09.2006 15.09.2006 1.25

1000998623 16.09.2006 13:13:42 CP115/1249(AMR)T/BREAKERS FAIL TO CLOSE C01-L030-UAMR 201185641 07:00:00 11:00:00 17.09.2006 17.09.2006 4

1000999156 19.09.2006 08:21:41 CP119/0530ALTHORP L/O C01-L035-UALT 201198753 08:30:00 12:00:00 19.09.2006 19.09.2006 3.5

1001000184 20.09.2006 12:22:19 CP122/12:19(SOFT)T/B 50 FAIL TO CLOSE C01-L065-UOLF 201195775 12:45:00 14:30:00 20.09.2006 20.09.2006 1.75

1001000483 21.09.2006 10:47:09 CP1241016HOEDSPRUIT RU FTC C01-L044-UHDT 201196232 06:55:20 14:25:00 27.09.2006 27.09.2006 7.49

1001000596 21.09.2006 15:10:07 CP124/1502(AMR)SUB LOCK-OUT C01-L030-UAMR 201209666 09:30:00 12:00:00 21.09.2006 21.09.2006 2.5

1001001228 24.09.2006 15:55:14 CP1291540WESTAFFEN LO C01-L030-UWFF 201196533 19:50:00 23:45:00 24.09.2006 24.09.2006 3.92

1001001229 24.09.2006 15:59:47 CP1291547 BRAKSPRUITBRUG RU LO C01-L065-UBSG 201196267 16:30:00 19:50:00 24.09.2006 24.09.2006 3.33

1001001271 25.09.2006 05:54:49 CP1291700ALTHORPE SUB L/O C01-L035-UALT 201196713 23:45:00 04:00:00 24.09.2006 25.09.2006 4.25

1001001913 27.09.2006 19:04:54 CP133/18:22(SALT)UNIT AND T/B'S LO FTC C01-L035-SALT 201198760 19:15:00 23:00:00 27.09.2006 27.09.2006 3.75

1001001926 28.09.2006 01:56:53 CP134/01:17(SIAL)RU AND T/B'S LO FTC C01-L035-SIAL 201198762 07:00:00 14:00:00 28.09.2006 28.09.2006 7

1001003480 02.10.2006 05:29:53 cp139/0116(WTB)T/B FAIL TO CLOSE C01-L030-UWTB 201198830 06:00:00 07:00:00 02.10.2006 02.10.2006 1

1001003695 02.10.2006 16:58:44 CP141/16:55(SAMR)T/B'S LO FTC OELOF C01-L030-SAMR 201196723 16:55:00 19:00:00 02.10.2006 02.10.2006 2.08

1001003748 02.10.2006 21:43:38 CP141/2128(WFF)SUB LOCK-OUT C01-L030-UWFF 201196737 21:28:00 23:15:00 02.10.2006 02.10.2006 1.78

1001003775 03.10.2006 02:57:19 CP141/0252(WTB)T/B FAIL TO CLOSE C01-L030-UWTB 201198789 12:00:00 13:00:00 03.10.2006 03.10.2006 1

1001004137 04.10.2006 09:58:15 CP144/07:51(SIAL)T/B LOCAL IND OELOF C01-L035-SIAL 201209643 07:50:00 09:50:00 04.10.2006 04.10.2006 2

1001005128 05.10.2006 17:08:46 CP149/1700ALKMAAR LO C01-L030-UAMR 201198796 15:00:00 17:20:00 05.10.2006 05.10.2006 2.33

1001005503 07.10.2006 09:48:38 CP153/09:42(SSYC)NO SUPPLY ON OHTE DAVID C01-L030-USYC 201198542 09:15:00 10:30:00 07.10.2006 07.10.2006 1.25

1001007409 11.10.2006 17:03:50 CP162/1600 ZMYN-SWFF SUBS OOP DAWID C01-L030-UWFF 201203366 17:10:00 19:30:00 11.10.2006 11.10.2006 2.33

1001007617 12.10.2006 12:15:45 CP166/1149(IAL)B63 FAIL TO CLOSE C01-L035-UIAL 201203373 12:20:00 15:00:00 12.10.2006 12.10.2006 2.67

1001008149 14.10.2006 14:52:18 CP171/0955(KU)ESC SWITCHING OPERATIONS C01-L044-UKU 201198742 09:55:00 16:30:00 14.10.2006 14.10.2006 6.58

1001008274 15.10.2006 15:16:35 CP174/1425(DLD)SUB OFF-LOAD C01-L035-OIAL2DLD 201203288 15:00:00 18:45:00 15.10.2006 15.10.2006 3.75

1001008386 16.10.2006 05:59:06 CP175/0547(AMR)SUB L/O C01-L030-UAMR 201198641 07:00:00 09:00:00 16.10.2006 16.10.2006 2

1001008613 16.10.2006 15:23:40 CP176/15:41(GWTB)RU TB'S OPEN FTC DAVID C01-L030-GWTB 201209662 13:30:10 14:15:00 16.10.2006 16.10.2006 0.75

1001008908 17.10.2006 15:26:15 CP178/1523(DLD)T/B FAIL TO CLOSE C01-L035-UDLD 201203343 15:33:00 18:10:00 17.10.2006 17.10.2006 2.62

1001009143 18.10.2006 13:42:06 CP180/13:10(GWTB)RU AND T/B'SFTC DAWID C01-L030-GWTB 201209658 15:40:00 16:30:00 18.10.2006 18.10.2006 0.83

1001009201 18.10.2006 15:40:00 CP180/15:38(SKAX)11 KV OF JOHANN C01-L044-UKAX 201203438 15:45:00 18:30:00 18.10.2006 18.10.2006 2.75

1001009453 19.10.2006 16:33:11 CP181/0814(HDT)RECTIFIER DIODES BLOWN C01-L044-UHDT 201203453 08:00:00 11:20:00 19.10.2006 19.10.2006 3.33

1001009883 21.10.2006 05:55:22 CP185/05:53(SRVR)T/B 30FTC DAWID C01-L030-SRVR 201203354 07:00:00 09:10:00 21.10.2006 21.10.2006 2.17

1001010038 22.10.2006 06:09:59 CP188/06:04(SNGX)RU OPEN FTC DAWID C01-L030-SNGX 201203400 07:00:10 08:45:00 22.10.2006 22.10.2006 1.75

1001010444 23.10.2006 16:02:46 CP192/1407(SYC)B21C/COIL FLASH OVER C01-L030-USYC 201209655 08:30:00 10:30:00 23.10.2006 23.10.2006 2

1001011666 25.10.2006 07:07:27 CP194/1526IMPALA SUB L/O C01-L035-UIAL 201221285 07:30:00 17:30:00 25.10.2006 25.10.2006 10

Page 189: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

184

1001012308 26.10.2006 18:48:58 CP199/18:45(SSYC)RU LOCAL IND T/B 20 FTC C01-L030-SSYC 201221295 19:00:00 21:15:00 26.10.2006 26.10.2006 2.25

1001012366 26.10.2006 23:54:56 CP199/23:40(SAMR)11KV OF DAWID C01-L030-SAMR 201221290 23:50:00 01:30:00 26.10.2006 27.10.2006 1.67

1001012875 28.10.2006 22:59:38 CP003/2004(TCH)HOOK-UP KM 203/9-10 C01-L035-ODLD2TCH 201212176 20:15:00 03:30:00 28.10.2006 29.10.2006 7.25

1001012967 29.10.2006 14:56:21 CP005/14:50(GWTB)RU OPEN T/B'S FTC DAWID C01-L030-GWTB 201212035 15:00:00 15:45:00 29.10.2006 29.10.2006 0.75

1001014755 04.11.2006 08:08:14 CP021/08:02(GWTB)UNIT + T/B'S OPEN DAWID C01-L030-GWTB 201212311 07:30:00 08:15:00 04.11.2006 04.11.2006 0.75

1001014942 05.11.2006 19:11:57 CP025/1907NUMBI SUB LO C01-L044-UNUM 201212289 19:08:00 22:00:00 05.11.2006 05.11.2006 2.87

1001016586 07.11.2006 11:19:46 CP030/1118(WTB)T/B FAIL TO CLOSE OELOF C01-L030-UWTB 201222298 11:18:00 15:30:00 07.11.2006 07.11.2006 4.2

1001018070 11.11.2006 13:49:13 CP041/1304(RVR)B34 FAIL TO CLOSE DAVID C01-L030-URVR 201221269 14:00:00 16:30:00 11.11.2006 11.11.2006 2.5

1001018339 13.11.2006 05:16:36 CP041/1740 VIENA T/B F.T.C. ANDRE +OELOF C01-L065-UVIN 201222342 07:00:00 13:00:00 12.11.2006 12.11.2006 6

1001018372 13.11.2006 06:31:13 CP043/0538(KOL)SUB L/O J V RHYN C01-L044-UKOL 201222369 07:40:00 19:30:00 13.11.2006 13.11.2006 11.83

1001021455 16.11.2006 18:07:02 CP053/1759(KOL)NO TELE TO T/B OELOF C01-L044-UKOL 201222365 17:59:00 21:00:00 16.11.2006 16.11.2006 3.02

1001022792 21.11.2006 15:54:28 CP063/1554ALKMAARRU FAIL 6 DIODES GEBLAA C01-L030-UAMR 15:13:24 00:00:00 21.11.2006 0

1001025083 27.11.2006 19:53:41 CP075/1736(ALT)OCB L/O DAVID C01-L035-UALT 17:36:00 20:15:00 27.11.2006 27.11.2006 2.65

1001025939 30.11.2006 05:07:04 CP078/2334(WTB)T/B FAIL TO CLOSE DAVID C01-L030-UWTB 23:34:00 00:10:00 29.11.2006 30.11.2006 0.6

1001026309 01.12.2006 00:02:44 CP080/0001(AMR)NO TELE TO CLOSE T/B C01-L030-UAMR 00:01:00 14:22:00 01.12.2006 05.12.2006 110.35

1001026614 02.12.2006 07:23:28 CP083/15:28(SVIN)T/B'41 FTC JOHAN C01-L065-UVIN 201268112 18:00:00 21:50:00 01.12.2006 01.12.2006 3.83

1001026801 03.12.2006 10:21:36 CP088/10:06(SIAL)TB'63 FTC KOOS C01-L035-OIAL2DLD 201269413 10:00:00 13:00:00 03.12.2006 03.12.2006 3

1001027448 04.12.2006 09:09:37 CP083/21:47(SHDT) SUB L/O JOHAN C01-L044-UHDT 201268097 21:50:00 23:11:00 01.12.2006 01.12.2006 1.35

1001027476 04.12.2006 09:14:20 CP083/23:09(SDLD)SUB L/O JOHAN C01-L035-UDLD 201268320 05:45:00 21:30:00 05.12.2006 05.12.2006 15.75

1001027526 04.12.2006 09:19:44 CP083/02:00(SRVR)I/B'S FTC JOHAN C01-L030-URVR 201268326 02:50:00 06:55:00 02.12.2006 02.12.2006 4.08

1001027546 04.12.2006 09:22:34 CP083/02:25(SWFF) TB'S FTC JOHAN C01-L030-USYC 201268328 06:55:00 08:05:00 02.12.2006 02.12.2006 1.17

1001027566 04.12.2006 09:24:33 CP083/06:57(SWVO) SUB L/O JOHAN C01-L030-UWVO 201268329 05:30:00 18:00:00 04.12.2006 04.12.2006 12.5

1001028062 04.12.2006 16:46:09 CP090/1255 IMPALA--KOMATIE E.S.C. AF GE C01-L035-STCH 12:55:00 15:55:00 04.12.2006 04.12.2006 3

1001028826 05.12.2006 12:02:17 CP092/1158(MYN)NO TELE TO CLOSE T/B ROET C01-L034-UMYN 11:58:00 00:00:00 05.12.2006 0

1001029993 09.12.2006 06:17:33 CP099/0430 SWFF SUB L/O GEORGE C01-L030-OAMR2WFF 201268138 05:00:00 08:00:00 10.12.2006 10.12.2006 3

1001030018 09.12.2006 10:12:10 CP099/0817(KAX)OCB FAIL TO CLOSE JOHAN C01-L044-UKAX 201268511 08:55:00 11:00:00 09.12.2006 09.12.2006 2.08

1001030235 10.12.2006 14:59:39 CP100/0647(TCH)RECTFIER BURNT JOHAN C01-L035-UTCH 201237273 06:47:00 12:00:00 10.12.2006 11.12.2006 29.22

1001030237 10.12.2006 15:03:07 CP100/0718(RLE)SWITCHING FOR ESCOM JOHAN C01-L044-URLE 201268343 08:25:00 10:20:00 10.12.2006 10.12.2006 1.92

1001030239 10.12.2006 15:07:56 CP100/1155(KTR)NO TELE JOHAN C01-L035-UKTR 201268334 14:15:00 20:40:00 10.12.2006 10.12.2006 6.42

1001032619 16.12.2006 14:09:19 CP109/14:03(GWTB)SUB L/O JOHAN C01-L030-UWVO 201268100 16:00:00 22:10:00 16.12.2006 16.12.2006 6.17

1001033039 18.12.2006 11:09:07 CP107/16:11(SIAL)SUB LO GEORGE C01-L035-UIAL 201268305 05:30:00 16:00:00 15.12.2006 15.12.2006 10.5

1001033562 19.12.2006 15:06:04 E812912311(AMR)SUB L/O G ROETS C01-L030-UAMR 201233719 13:15:00 14:15:00 19.12.2006 19.12.2006 1

Page 190: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

185

1001033743 20.12.2006 05:25:19 CP113/0500WATERVALBOVEN SUB L/O C01-L030-UWTB 201271360 06:30:00 11:40:00 20.12.2006 20.12.2006 5.17

1001034786 21.12.2006 12:47:03 CP118/1228(MYN)LOW POWER ROETS C01-L034-EMYN2KNO 12:28:00 12:56:00 21.12.2006 21.12.2006 0.47

1001034856 21.12.2006 16:20:52 CP118/1336(AMR)OCB FAIL TO CLOSE ROETS C01-L030-UAMR 201269479 13:45:00 14:45:00 21.12.2006 21.12.2006 1

1001036011 27.12.2006 14:24:20 CP122/0557(WTB)SUB L/O BATT U/V JOHAN C01-L030-UWTB 201268737 05:57:00 13:45:00 27.12.2006 27.12.2006 7.8

1001036021 27.12.2006 14:37:20 CP123/1029(NGX)T/B FAIL TO CLOSE JOHAN C01-L030-UNGX 201268727 10:15:00 12:20:00 27.12.2006 27.12.2006 2.08

1001036027 27.12.2006 14:43:21 CP123/1157(WVO)SUB L/O JOHAN C01-L030-UWVO 201268733 12:50:00 13:10:00 27.12.2006 27.12.2006 0.33

1001036037 27.12.2006 15:01:03 CP123/1119(SYC)SUB L/O JOHAN C01-L030-USYC 201268664 16:50:00 18:05:00 27.12.2006 27.12.2006 1.25

1001036040 27.12.2006 15:16:46 CP123/1207(DLD)T/B FAIL TO CLOSE JOHAN C01-L035-UDLD 12:07:00 15:11:00 27.12.2006 27.12.2006 3.07

1001036043 27.12.2006 15:23:16 CP123/1213(KTR)GCB FAIL TO CLOSE JOHAN C01-L035-UKTR 12:13:00 15:43:00 27.12.2006 27.12.2006 3.5

1001036086 27.12.2006 18:48:11 CP123/18:10(YWTB)SUB L/O JOHAN C01-L030-UWTB 201268770 18:05:00 20:00:00 27.12.2006 27.12.2006 1.92

1001036332 28.12.2006 14:06:41 CP124/0859(ALT)SUB L/O J V RHYN C01-L034-TKM 201268772 08:30:00 09:40:00 28.12.2006 28.12.2006 1.17

1001036416 28.12.2006 19:03:08 CP126/18:35(SDLD)TB'S FTC JOHAN C01-L035-UDLD 201268782 19:00:00 22:50:00 28.12.2006 28.12.2006 3.83

1001036624 29.12.2006 19:48:52 CP127/1311(KTR) NOTELE TO CLOSE T/B JOHA C01-L035-UKTR 201268793 13:40:00 14:25:00 29.12.2006 29.12.2006 0.75

1001036734 30.12.2006 13:02:02 CP128/13:00(SWFF)SUB L/O GEORGE C01-L030-UWFF 201269490 13:15:00 14:00:00 30.12.2006 30.12.2006 0.75

1001037288 03.01.2007 05:33:25 CP130/0524(AMR)OCB TRIP NO TELE DAVID C01-L030-UAMR 201268679 08:00:00 08:50:00 03.01.2007 03.01.2007 0.83

1001037308 03.01.2007 08:15:16 CP124/08:59(SALT)SUB L/O JOHAN C01-L035-UALT 201268775 09:40:00 10:35:00 28.12.2006 28.12.2006 0.92

1001037310 03.01.2007 08:19:05 CP126/18:40(SIAL)T/B 63 FTC JOHAN C01-L035-UIAL 201268651 15:40:00 17:20:00 29.12.2006 29.12.2006 1.67

1001037445 03.01.2007 21:10:49 CP131/1928(ALT)NO TELE TO CLOSE T/B OELO C01-L035-UALT 201268717 19:28:00 22:28:00 03.01.2007 03.01.2007 3

1001039676 12.01.2007 11:52:46 CP141/1039(WTB)SUB L/O DAVID C01-L030-UWTB 201271986 10:40:00 12:15:00 12.01.2007 12.01.2007 1.58

1001039819 13.01.2007 05:30:13 CP1410528TENBOSH SUB LO C01-L035-UTCH 201271546 10:00:00 14:40:00 13.01.2007 13.01.2007 0

1001040213 15.01.2007 08:02:18 CP144/0735(KU)NEG RETURN B/BAR BROKEN C01-L044-UKU 201268548 12:00:00 19:00:00 12.01.2007 12.01.2007 7

1001040262 15.01.2007 10:44:20 CP144/1037(TCH)SUB L/O C01-L035-UTCH 201271322 10:40:00 15:00:00 15.01.2007 15.01.2007 4.33

1001040367 15.01.2007 14:31:20 CP145/14:25(SRLE)RU FTC JOHAN C01-L044-URLE 201268554 07:30:00 17:00:00 18.01.2007 18.01.2007 9.5

1001040693 16.01.2007 17:08:42 CP146/1205(KTR)SUB L/O C01-L035-UKTR 201269585 11:00:00 20:00:00 16.01.2007 16.01.2007 9

1001040815 17.01.2007 08:23:39 CP147/0636(AMR)OCB L/O DAVID C01-L030-UAMR 201270904 07:30:00 10:00:00 17.01.2007 17.01.2007 2.5

1001040975 17.01.2007 17:24:04 T/B 11 FTC (GWTB) DAWID C01-L030-OSYC2ARL 201253795 02:30:00 10:30:00 19.01.2007 19.01.2007 8

1001041541 19.01.2007 20:21:05 CP153/20:18(SALT)SUB LO OELOF C01-L035-UALT 201268517 20:18:00 22:30:00 19.01.2007 19.01.2007 2.2

1001041783 21.01.2007 16:47:30 CP154/0700 SALT SUB L/O JOHAN C01-L035-UALT 201268596 07:50:00 15:15:00 20.01.2007 20.01.2007 7.42

1001042889 24.01.2007 19:49:40 CP164/19:06(GWTB)SUB LO DAWID C01-L030-GWTB 19:06:20 19:49:00 24.01.2007 24.01.2007 0.71

1001043289 26.01.2007 06:26:39 CP168/06:24(SRLE)T/B'S FTC JOHAN C01-L044-URLE 201270581 07:25:00 20:00:00 26.01.2007 26.01.2007 12.58

1001043487 26.01.2007 22:56:36 CP170/2255(WTB)SUB L/O DAVID C01-L030-UWTB 22:55:00 23:13:00 26.01.2007 26.01.2007 0.3

1001043654 27.01.2007 21:58:09 CP170/1727(WTB)SUB L/O OELOF C01-L030-UWTB 201268619 21:39:00 00:30:00 27.01.2007 28.01.2007 2.85

Page 191: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

186

1001043655 27.01.2007 22:01:55 CP170/2139(WTB)SUB L/O OELOF C01-L030-UWTB 21:39:00 23:20:00 27.01.2007 27.01.2007 1.68

1001043824 28.01.2007 20:30:37 CP171/1920(TCH)PCB L/O OELOF C01-L035-UTCH 201270115 19:20:00 22:30:00 28.01.2007 28.01.2007 3.17

1001043898 29.01.2007 09:04:30 CP170/0554ROLLE SHUTDOWN FOR ESC C01-L044-URLE 201267824 16:30:00 21:30:00 28.01.2007 28.01.2007 5

1001044163 29.01.2007 20:35:56 CP173/1815(ALT)T/BREAKERS L/O OELOF C01-L035-UALT 201267952 18:15:00 20:30:00 29.01.2007 29.01.2007 2.25

1001044386 30.01.2007 09:49:02 CP174/09:43(GWTB)SUB LO DAWID C01-L030-UWTB 09:43:47 13:30:00 30.01.2007 30.01.2007 3.77

1001045036 01.02.2007 05:21:53 CP178/0518(TCH)PCB L/O DAVID C01-L035-UTCH 201272503 06:00:00 10:30:00 01.02.2007 01.02.2007 4.5

1001046466 06.02.2007 05:23:24 CP192/2301 ALTHRPE SUB L/O ELOF C01-L035-UALT 201269599 23:01:00 01:30:00 05.02.2007 06.02.2007 2.48

1001046919 07.02.2007 06:07:46 CP195/05:49(SWFF)SUB L/O DAWID C01-L030-UWFF 201272452 06:00:00 08:15:00 07.02.2007 07.02.2007 2.25

1001047075 07.02.2007 11:34:33 CP197?11:31(SARL)T/B 23 FTC DAWID C01-L030-UARL 201272445 11:40:00 13:00:00 07.02.2007 07.02.2007 1.33

1001047108 07.02.2007 13:10:48 CP197/13:03(SPBA)T/B51 FTC JOHAN C01-L065-UPBA 201267742 13:15:00 13:55:00 07.02.2007 07.02.2007 0.67

1001047380 08.02.2007 09:44:42 CP1990945AIRLIE SUB NEG STOLEN C01-L030-ONGX2EK 201256439 08:00:00 15:30:00 09.02.2007 09.02.2007 0

1001047940 09.02.2007 17:41:29 CP002/17:39(GWTB)SUB LO RU FTC DAWID C01-L030-UWTB 201272565 14:40:00 18:30:00 09.02.2007 09.02.2007 3.83

1001047989 10.02.2007 06:02:22 CP002/06:00(SAMR)T/B'S FTC DAWID C01-L030-ORVR2AMR 201268462 06:00:56 20:00:00 11.02.2007 11.02.2007 13.98

1001048672 13.02.2007 02:04:53 CP07/02:00(GWTB)SUB LO DAWID C01-L030-OWTB2ONV 201260814 02:45:00 12:00:00 13.02.2007 13.02.2007 9.25

1001049387 14.02.2007 16:09:29 CP0131407WATERVALBOVEN B08 BLOWN C01-L030-UWTB 14:07:19 16:12:38 14.02.2007 14.02.2007 2.09

1001049527 15.02.2007 08:36:11 CP012/1102 MBUMBA NEG LOOSE C01-L044-ULEG 201268493 12:30:00 13:30:00 14.02.2007 14.02.2007 1

1001050211 17.02.2007 13:36:48 CP017/074 W/V/BOVEN -MACHADO3KV OFF OELO C01-L030-UWTB 201268466 07:24:00 11:45:00 17.02.2007 17.02.2007 4.35

1001050505 19.02.2007 06:26:14 CP021/1630 RIVULETS T/B OOP C01-L030-SRVR 16:30:00 00:00:00 18.02.2007 0

1001050507 19.02.2007 06:40:44 CP021/1712 TENBOCSH SUB L/O C01-L035-STCH 201268470 17:12:00 22:00:00 18.02.2007 18.02.2007 4.8

1001051603 22.02.2007 16:15:15 CP030/0600(TCH)SUB L/O G ROETS C01-L035-UTCH 06:00:00 09:04:00 22.02.2007 22.02.2007 3.07

1001051698 23.02.2007 07:15:52 CP031/0800 W/V/BOVEN L/L FAULTY C01-L030-SWTB 08:00:00 00:00:00 22.02.2007 0

1001051974 23.02.2007 19:43:29 CP036/1509(TCH)OCB L/O DAVID C01-L035-UTCH 201272509 15:20:00 20:00:00 23.02.2007 23.02.2007 4.67

1001052231 25.02.2007 16:50:17 CP040/1100 ROLLE SUB E.S.C. SHUTDOWN C01-L044-UNUM 201267838 13:00:00 20:00:00 25.02.2007 25.02.2007 7

1001052233 25.02.2007 16:53:04 CP040/1330 IREAGH SUBT/B OOP C01-L044-UIRG 201267845 15:10:00 16:50:00 25.02.2007 25.02.2007 1.67

1001052805 27.02.2007 21:35:10 CP044/1915(TCH)PCB L/O AUX XFR AC FAIL C01-L035-OTCH2KTR 201272688 19:45:00 00:15:00 27.02.2007 28.02.2007 4.5

1001053442 02.03.2007 07:19:57 CP046/0749AIRLIE SUB L/O C01-L030-UARL 07:49:40 00:00:00 01.03.2007 0

1001053707 03.03.2007 09:11:24 CP0480843ACORNHOEK RU LO C01-L044-UACH 201267236 09:00:00 12:30:00 03.03.2007 03.03.2007 3.5

1001053884 04.03.2007 13:26:04 CP0500859ALTHORPE SWITCHING FOR ESC C01-L035-UALT 201269587 15:00:00 17:00:00 04.03.2007 04.03.2007 2

1001053892 04.03.2007 13:31:04 BRAKSPRUITBRUG RU LO C01-L065-UBSG 201267222 11:00:00 14:00:00 04.03.2007 04.03.2007 3

1001054315 05.03.2007 15:30:23 CP047/0734(MYN)NO TELE TO CLOSE T/B OELO C01-L034-UMYN 07:34:00 07:51:00 02.03.2007 02.03.2007 0.28

1001054556 06.03.2007 13:23:47 CP054/0744(WTB)SUB L/O DC/E/LEAKAGE DAVI C01-L030-UWTB 201272630 08:00:00 08:45:00 06.03.2007 06.03.2007 0.75

1001055159 08.03.2007 13:21:23 CP060/0540(MUL)THEFT C01-L044-UMUL 201267171 06:00:00 12:20:00 08.03.2007 08.03.2007 6.33

Page 192: APPLYING THE PREDICTABLE MAINTENANCE APPROACH TO DC

187

1001055728 11.03.2007 15:50:32 CP068/0625(WTB)SUB L/OUT DAVID C01-L030-UWTB 201272562 07:00:00 07:45:00 11.03.2007 11.03.2007 0.75

1001056044 12.03.2007 16:37:29 CP071/1037(ALT)T/B FAIL TO CLOSE DAVID C01-L035-UALT 10:37:00 13:07:00 12.03.2007 12.03.2007 2.5

1001056062 12.03.2007 16:59:36 CP072/1512(WTB)SUB L/O DAVID C01-L030-UWTB 201272525 10:45:00 15:20:00 12.03.2007 12.03.2007 4.58

1001056429 13.03.2007 16:37:50 CP075/1455(ALT)T/B FAIL TO CLOSE DAVID C01-L035-UALT 14:55:00 17:40:00 13.03.2007 13.03.2007 2.75

1001056439 13.03.2007 18:12:00 CP072/1812 CYCAMORE-AIRLIE POWER OFF C01-L030-USYC 201272655 18:15:00 19:10:00 13.03.2007 13.03.2007 0.92

1001056851 15.03.2007 05:21:22 CP077/0111 CYCAMORE-AIRLIE POWER OFF C01-L030-USYC 201272515 04:00:00 05:30:00 15.03.2007 15.03.2007 1.5

1001057039 15.03.2007 16:32:52 CP079/1409(WTB)SUB L/O DAVID C01-L030-UWTB 201272536 14:15:00 15:15:00 15.03.2007 15.03.2007 1

1001057041 15.03.2007 16:37:22 CP079/1420(SYC)SUB L/O DAVID C01-L030-USYC 201272518 15:20:00 16:20:00 15.03.2007 15.03.2007 1

1001057436 16.03.2007 21:13:11 CP0821430(WTB)SUB L/O DAVID C01-L030-UWTB 201272543 14:30:00 15:15:00 16.03.2007 16.03.2007 0.75

1001057437 16.03.2007 21:21:46 CP083/1728(SYC)SUB L/O DAVID C01-L030-USYC 201272684 17:30:00 18:45:00 16.03.2007 16.03.2007 1.25

1001058562 21.03.2007 14:40:43 CP091/13:50 (SALT)T/B'S55&56 FTC OELOF C01-L035-UALT 201269591 13:50:00 14:30:00 21.03.2007 21.03.2007 0.67

1001058690 22.03.2007 05:17:54 CP092/0430(MUM)T/BREAKERS L/O JOHAN C01-L044-UMUM 201272440 07:40:00 16:00:00 23.03.2007 23.03.2007 8.33

1001059402 25.03.2007 08:40:23 CP099/0829 SYCAMORE L/O C01-L030-USYC 08:29:53 00:00:00 25.03.2007 0

1001059404 25.03.2007 08:43:28 CP099/0834 KOMATIPOORT RU FTC C01-L035-UKTR 08:34:52 10:38:56 25.03.2007 25.03.2007 2.07

1001060160 27.03.2007 18:48:21 CP102/14:15(GKTR)RU FTC DAWID C01-L035-UKTR 14:15:26 18:05:53 27.03.2007 27.03.2007 3.84

1001060824 30.03.2007 05:31:34 CP107/05:31(SALT)RU LOCK OUT DAWID C01-L035-SALT 05:31:35 00:00:00 30.03.2007 0