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Rail predictive maintenance; success, first steps & lessons learned.

Posted by Luke Upton on Jan 21, 2016

Rail predictive maintenance (SmartRail World)Predictive maintenance (PM) is one of the most discussed and sought-after MRO (maintenance, repair & overhaul) strategies in the rail industry today. For rail professionals PM is all about predict­ing the optimal timing for maintenance which enables looming faults to be identified proactively and neces­sary maintenance work to be started in time before a fault occurs. Deployed correctly its a powerful tool improving efficiency, lowering time in the yard and increasing profitability. 

Today SmartRail World is proud offer our readers a free new digital guide to engineering solutions for predictive maintenance in rail, focussing on success factors, first steps and lessons learned from other industries in partnership with industry leaders Cyient.

The importance of PM has come into sharp focus recently with recent advancements in sensors and com­munication technologies that have led to continu­ous data collection from various systems and subsystems in trains, enabling monitoring of mechanical and electrical conditions, opera­tional efficiency and multiple other perform­ance indicators.  These new capabilities enable planning of maintenance activities with the maximum interval between repairs, while minimizing the number and cost of unscheduled outages created by system failures.

Cyient_snippedToday’s technology makes it possible to affordably collect huge amounts of data from hundreds of systems in a single train, analyse that data in real time and detect problems before they actually happen.

This fantastic digital guide from the experts at Cyient offers the following focus areas: 

  • Benefits of predictive maintenance
  • Success factors and methodology for predictive maintenance in rail
  • Lessons learned from other industries, es­pecially from aerospace
  • Choose the right system or subsystem for prediction
  • Get the necessary data
  • Marry rail expertise with data analytics
  • Identify the value-add of PM for maintenance strategies
 
A Digital Guide: Engineering solutions for predictive maintenance in rail. 
 
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Topics: IT and WiFi, Rolling Stock

Luke Upton

Written by Luke Upton

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