how to develop pm tasks for a machine
TRANSCRIPT
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How to Develop the PM’s for a machine
A Step by Step Approach
765-366-4285© 2009 MMSI
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Failure After Overhaul
0
20 0
40 0
60 0
80 0
10 00
12 00
14 00
16 00
18 00
2 00 0
< 1 wk 1 – 2 wk 2 – 3 wk 3 - 4 wk 1 – 2 mo 2 – 3 mo >3 mo
Time a fte r o ve rha u l
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Each Technology Is Optimized
Machine Healthcare is sub-optimized
Spreads cost over as many machines as possible
Minimizes cost per data point
Maximizes utilization of test equipment
Provides evidence of full work load to supervision
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Is This the Best Way?Would you be happy with your doctor if on your annual physical he only tested your pulse rate?
And then sent you out to contract your own blood work and interpret the results?
Then based on that limited information, he makes the decision to do surgery.
A pump overhaul is surgery!
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Technology Centered:Optimizes individual technology program
spreads cost over as many pieces as
possible
Minimizes cost per measurement
Provides full workload
Keeps equipment in use
Machine centered:Optimizes machine
health
Provide all needed information to assess
machines health
Decide what PM's actually improve or maintain machine's
health
Family physician model
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Application to Machinery Healthcare
To get a complete picture of machine health, you need to run a number of tests.
And when that PM for overhaul (surgery) comes up, you can make an informed decision on whether to perform or defer it.
You’re more likely to catch something early.
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Advantages of a Machine Centered Approach
Optimize Machines Healthcare
Defer routine overhauls
Collect complete data on each trip to machine
Less machines per day More valuable information
Manage failure
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Machine Centered ProcessIt’s nothing new Reliability Centered Maintenance formalizes it
But the fact is not everyone can do RCM• They can’t afford it• They don’t have the manpower• They can’t get approval
But they still have to maintain the machine
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Machine Centered Thought Process
What are the possible failures?
Which of these
failures are significant?
How can we avoid
these failures?
When we can't avoid failure, how
can we get an early warning?
Tailor a suite of tests to get
early warnings.
Collect all information at one
decision point.
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First ask:
What are the possible failures
Think about the function of the machine
How can it fail to meet that function?
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Function
Downstream (Load side)
Start motor
Stop motor
Deliver specified torque at specified RPM
Specified speed ramp rate up
Specified speed ramp rate down
accelerate load from stop to operating speed
adjust torque and speed on demand
Motor-Drive System Functions
12/5/97 15 of
Functional Failure Analysis• Complete failure
• Partial failure
• Intermittent failure
• Failure over time
• Over performance of function
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Function Functional Failure
Failure Mode
Start motor Motor will not turn winding failure (stator)
Insulation Failure (stator)
Rotor failure
Bearing Seized
Contactor Failed
Loss of Power
VFD Malfunction (Start)
Stop motor Motor will not stop Contactor Failed
VFD Malfunction (STOP)
Deliver specified torque at specified RPM
Motor turns at wrong speed.
VFD Malfunction (Speed control)
Motor fault
load fault
Specified speed ramp rate up
Motor ramps up at wrong rate
VFD Malfunction (ramp up)
winding failure (stator)
Insulation Failure (stator)
Rotor failure
Bearing Seized
Functional Failure of a Motor Drive System
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Next ask:
Which of these failures are significant?
How often it happens - frequency
What’s the impact when it does - consequence
Risk = frequency times consequence
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Machine History
Machine Failures Total Downtime
Casing failure 3 times in 10 years 24 hours
Seal failure Twice in the last six months
105 hours
NPSH failure Couple of times a week
Stops line for 10 minutes each time
Bearing failure About once a year 6 hours
• $10,000/hr downtime cost
• 2080 hours / yr
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Calculations
• Pump Set 1:Total time = 10 yr x 2080 hr/yr = 20800 hrs
Downtime = 24 hrs
MTBF = 20800/3 = 6933.3 hrs
MTTR = 24/3 = 8 hrs
German
French
Cost = (3 fail x 8hr/fail x $10,000/hr)/10yr = $24,000/yr
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Application Of Ranking
Machine MTBF MTTR Annual Downtime Cost
($)
Casing failure 6933.3 8 $24,000
Seal failure 520 52.5 $2,100,000
NPSH failure 20 0.16 $173,000
Bearing failure
2080 6 $60,000
Note that the 10 minute failure adds up to more loss than the 6 hr or 8 hr failures
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Criticality Survey
Score Frequency Effect
1 1/10 yrs None
2 1/ yr A little
3 1/ month Some
4 1/ week A lot
5 1/ day Complete
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Then ask:
How can we avoid these failures?
Design changes
Adjust, lubricate, …
Preventive replacement
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Task Types
• Time directed
• Condition directed
• Failure finding
• Run to failure
• Regulatory compliance
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Types of Preventative Maintenance Tasks
• Inspections• Visual Clues• Operating instructions
& emergency procedures
• Cleaning• Condition assessment
• Lubrication• Fasteners• Filters• PM for stored
equipment• Proactive Replacement
and Scheduled Refurbishment
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When we can't avoid failure, ask:
How can we get an early warning?
Process parameters
Inspections
Technology
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Condition Assessment Techniques
• Process Parameters
• Vibration Analysis
• Infrared Thermography
• Ultrasonic
• Lubricating Oil Analysis
• 30+ Other NDT technologies
It’s a way of using information, not a specific technology
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Failure Mode Failure Causes Symptoms Measurement
winding failure (stator)
Conductor failure vibration > ips vibration monitoring
Various MCSA
Various MCE
excessive vibration vibration > ips vibration monitoring
Insulation Failure (Stator)
Breakdown Polarization index
R to gnd < ohms Megger
excessive current temperature > °F thermometer
amperes > A ammeter
voltage spike power quality monitor
excessive temperature Motor temperature > °F thermometer
Ambient temperature > °F thermometer
thermography
excessive vibration vibration > ips vibration monitoring
phase imbalance phase angle >± ° power quality monitor
MCSA
MCE
temperature > °F thermometer
Rotor failure broken rotor bars vibration > ips vibration monitoring
Bearing Seized Fatigue vibration > ips vibration monitoring
shock pulse > db Shock pulse meter
improper lubrication shock pulse > db Shock pulse meter
Lube deterioration lube monitoring
Motor Failure
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Machine Centered Thought Process
What are the possible failures?
Which of these
failures are significant?
How can we avoid
these failures?
When we can't avoid failure, how
can we get an early warning?
Tailor a suite of tests to get
early warnings?
Collect all information at one
decision point.