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Knowledge requirements for rolling stock maintenance. TU Eindhoven – 19th of June 2007. by Bob Huisman (b.huisman@nedtrain.nl) NedTrain - Fleet Management Strategic Development. NedTrain is part of the NS Group. NedTrain provides Rolling Stock Maintenance, Cleaning and Overhauling .
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Knowledge requirementsfor rolling stock maintenance TU Eindhoven – 19th of June 2007 by Bob Huisman (b.huisman@nedtrain.nl) NedTrain - Fleet Management Strategic Development
NedTrain is part of the NS Group • NedTrain provides • Rolling Stock Maintenance, Cleaning and Overhauling TU Eindhoven - 19th of June 2007
Questions & Challenges • How to preserve knowledge and experience? • Older people retire, but older systems (should) remain operational. • How to obtain knowledge about reliable complex technical systems? • Configuration, condition, use, contracts, performance? • What should be done and when? How? • Better system performance means less diagnostic experience! • How to share knowledge in a highly flexible organisation? • How to deal with different systems over time, at different locations? • How to exchange knowledge between companies across borders? • Many companies are involved in the life time of a technical system. • How to communicate between different local (national) cultures? TU Eindhoven - 19th of June 2007
Double goal:effectiveness and efficiency TU Eindhoven - 19th of June 2007
Goal 1: to maintain system functionality (effectiveness) 100% 100% 100% How do functions evolute? When is a functional failure to be expected? Time Yesterday Today Tomorrow? What maintenance is required? When? TU Eindhoven - 19th of June 2007
Goal 2: to minimize means of production (efficiency) 100% 100% 100% 100% Fleet availability Past Future Use of maintenance means of production Past Future TU Eindhoven - 19th of June 2007
Effective maintenance:derive required maintenancefrom technical conditionof individual systemsby intelligent reasoning TU Eindhoven - 19th of June 2007
How to predict degradation and failure? 100% New - Time Time Time Function Extrapolation Functionality enables/disables function Cause-effect analysis Component Dimension, quantity influences technical condition Wear and tear modelling Use Cycles, energy Now TU Eindhoven - 19th of June 2007
Complex interaction between use, components and functions Function A Function B Function C Function D Component 1 Component 2 Component 3 Component 4 Technical system Usage Incidents Environment Maintenance TU Eindhoven - 19th of June 2007
Derive required maintenance continuously during operation Required Maintenance Measurement Required Maintenance Design, Requirements, Environment, Use Knowledge Technical system Technical system Maintainer Technical system Maintenance plan Jobs Configuration Maintenance rules and job descriptions Computer system Mimic model (not perfect) Mimic model (not perfect) Mimic model (not perfect) Observer and interpretator Configuration Technical status Synchronisation Predictive model (not perfect) Predictive model (not perfect) Predictive model (not perfect) Expected use Expected status TU Eindhoven - 19th of June 2007
Efficient maintenance:derive maintenance schedulefrom required maintenanceand availability of means of productionby intelligent reasoning and negotiation TU Eindhoven - 19th of June 2007
Scheduling manufacturing orders Order Design Quality Price Delivery date Quantity Supplier Manufacturing Supplier New products Supplier Production & Delivery orders Backwards scheduling (Pull) TU Eindhoven - 19th of June 2007
Traditional rolling stock maintenance scheduling Contract Throughput Quality Price Maintenance plan Supplier Maintenance production Maintained products Supplier Technical condition Production order Local scheduling Arrival & Inspection orders Scheduling (Push) km-counter TU Eindhoven - 19th of June 2007
Future maintenance scheduling Technical condition Transport operations Maintenance plan Required maintenance Availability of staff, shop and stock Required staff, shop and stock Maintenance schedule TU Eindhoven - 19th of June 2007
Rolling stock condition based maintenance scheduling Contract Throughput Quality Price Maintenance plan Supplier Maintenance production Maintained products Supplier Production & Delivery orders Technical condition Backwards scheduling (Pull) Generate maintenance required Request TU Eindhoven - 19th of June 2007
Maintenance scheduling by a Multi Agent System (Society) Maintenance rules Configuration Agent (train ) Agent (train ) Agent (depot ) Intelligent agent (operator ) Intelligent agent (train ) Intelligent agent (depot ) Co-ordination Negotiation Status Availability Time table Transport orders Work orders Train Train Depot Operator Train Depot TU Eindhoven - 19th of June 2007
Where do we need knowledge of operation? Trains Trains Strategic (Rolling Stock, Locations, Contracts) Government, Authorities Performance Requirements Fleet Performance Railway Operators Tactical (Maintenance Plans, Means of Production, Organisation) Rolling Stock Manufactures Performance of Rolling Stock and Maintenance Results Maintenance Plans Operational (Maintenance Planning and Control) Infrastructure Managers Traffic Control Operation Data Diagnostic Data Inspection and Maintenance Orders Technical Condition of Rolling Stock Depot / Workshop (Performing Maintenance) TU Eindhoven - 19th of June 2007
Thanks for Your Attention! Any questions? TU Eindhoven - 19th of June 2007
Component tree Train Consists of Is part of Coach Coach Coach Boogie Boogie Wheel set Motor Wheel set Subsystem TU Eindhoven - 19th of June 2007
Function tree To remain on track To drive To accelerate Requires To decelerate To transport passengers To control climate To offer comfort To offer seats To inform TU Eindhoven - 19th of June 2007
Relations between functions and components To transport passengers Train To drive Energy supply Boogie To accelerate To remain on track Wheel set Motor TU Eindhoven - 19th of June 2007
RCM (Reliability-Centred Maintenance) analysis Enable train driver to brake and to stop Function Triple valve leaks, caused by dirt Root failure Air pressure drops, coach does not brake, causing lower train deceleration Failure effect Train at 140 km/h does not stop within 1000m Functional failure Failure does effect safety directly Business consequence Frequent test of brake system Maintenance TU Eindhoven - 19th of June 2007
Complex cause-effect relations Function Function Functional failure Functional failure Functional failure Functional failure Failure effect Failure effect Failure effect Failure effect Root failure Failure effect Root failure Failure effect Root failure Root failure TU Eindhoven - 19th of June 2007
System design, maintenance engineering and operation Requirements, Environment, Use Design of Technical system Phase 1 Maintenance engineering Maintenance plan Expected conditions and use Phase 2 Construction Technical system Maintenance Real life Technical system Phase 3 Technical system TU Eindhoven - 19th of June 2007
Implementation model TU Eindhoven - 19th of June 2007
Ontologies en RDF TU Eindhoven - 19th of June 2007