strukton rail big data expo 2016
TRANSCRIPT
David Vermeij21 september 20161.0
POSS® Switch Analyticsnew ways to prevent failures
Presentation
• Introduction
• Welcome to Strukton’s world
• POSS® monitoring system
• Switches (point machines)
• Data science forpredictive maintenance
Introduction
D.J. (David) Vermeij MSc.Manager R&D - Strukton Rail
Education1992-1998 TU Delft : fac. of civil engineering, dep. of railway engineering
Experience1998-2006 Movares : project manager HSL2006-2012 Strukton Rail : tendermanager maintenance (procurement)2012-2015 Strukton Rail : contract manager maintenance (operation)2015-present Strukton Rail : manager R&D
Responsible for the innovation program at Strukton RailPartner in European Research Projects
Strukton
1921 Established under the name: “ NV Spoorwegbouwbedrijf ”, as a subsidiary company of Dutch Railways (NS)
1974 Renamed to “ Strukton ” after the merger with the Danish company Christians & Nielsen
2010 Acquisition by Oranjewoud NV, a private entity of Sanderink Invest
Strukton’s World
Railsystems
813
CivilInfra-structure618
Technique & Buildings
345
Revenu per market 2014(millions of Euros)
Strukton Rail develops, builds, installs and maintains rail systems, ensuring optimum availability, reliability, safety and measurability .
• Maintenance, renovation and new construction of railways and rail systems
• Machines• Railway safety• Railway acquisition and data management• Train systems
Railway maintenance
Facts and Figures24/7 maintenance (NL)
Operational Asset Management
• Define & Select: Your network and your network needs
• Measure & Monitor: How to get the data you need
• Data Management & Interface: How to manage data and make it user-friendly
• Analyse & Interpret: How to make sense of all that d ata
• Organise & Plan: How to put that data to good use
• Maintain & Feedback: How to keep improving your network.
The challenge
Introduction of Performance based contracts (PGO) :
• Competition : need for continuous improvement
• Focus on availability : reduction of failures
• Focus on costs : preventive maintenance
POSS® monitoring
Worldwide
Strukton’s Preventive Maintenance and Fault Diagnosis System
Over 10.000 assets are monitored by POSS®
point monitoring
Frequently obstructed movements due to:
• Poor adjustment of rolling construction
• Lack of grease on slide chairs
• Bent blades
• Electrical problems
(worn-out brushes, motor, etc.)
Fault diagnosis
Locking problem Motor problem
Functional point model
Data analysis
The next step
Railway maintenanceTo achieve further reduction in failuresand optimize maintenance (costs),we need to make the next step towards predictive maintenance
To enable this we need a set of tools to detect and predict failures in a veryearly stage in order to be able to plan/act (as possessions are restricting).
The predictions are to be accurate, reliable and provide information about whatfailure mode is going to occur.
Data Science ?
2015: Introducing Data Science
2015 : Pilot on POSS dataGoal: Discover what Data Science can bring to railway maintenance
2015/2016: POC
2015/2016 : Proof of ConceptGoal: development of a failure prediction model
Testcase:algoritm based on T-7dys behaviour
2016: Production
2016 : Development towards ProductionGoal (1): System architecture and code
Goal (2): Development of a ‘pipeline’
2016: Failure prediction
2016 : Failure predictionGoal (3): Improvement of algoritm
Lessons learned
• There´s lots of data
• Valuable information can be extracted
• (mechanical) failures can be predicted
• Enormous potential,we´ve just started
Think big, start small
Connecting data science todomain knowledge is essential
There’s always a correlation…. The challenge is to predict whatfailure mode will occur
Reliability and availability of (labelled) data is crucial
Movie
46299 - Strukton - Point Monitoring_15092016_1080P.mp 4
Contact
www.struktonrail.com
Inquiries:Yves Kusters
Mobile : +31 – 6 [email protected]
Westkanaaldijk 23542 DA UtrechtThe Netherlands
www.struktonrail.com