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How to choose and implement a predictive maintenance platform

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Predictive maintenance provides railway operators a way to schedule maintenance more conveniently, to prevent unexpected equipment failures, and to turn unplanned into planned stops (making workshop entries shorter and more efficient). But how do you select the predictive maintenance platform that best suits your business?

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How to choose and implement a predictive maintenance platform

  1. 1. WWW.RAILNOVA.EU How to choose and implement a predictive maintenance platform
  2. 2. What’s the impact of poor asset monitoring and late problem detection?
  3. 3. What’s the impact of poor asset monitoring and late problem detection? • Spammy alerts • Ignore alerts • Don’t act at all Unplanned failures Systematic workshop entries • Don’t use remote diagnostics • Don’t capitalise return on experience • Rely on experts/third parties
  4. 4. Is it time to switch to predictive maintenance?
  5. 5. Is it time to switch to predictive maintenance? Poor-performing IT projects New management blood Failed PoC
  6. 6. What to look for in a predictive maintenance platform?
  7. 7. 1. Is it one Hardware + Software solution for multiple assets classes and component types? MVB Doors Pantograph Profibus ERTMS HVAC MVB Doors Pantograph Profibus ERTMS HVAC MVB Doors Pantograph Profibus ERTMS HVAC MVB Doors Pantograph Profibus ERTMS HVAC
  8. 8. 2. Is it a working solution or a future promise?
  9. 9. 3. Is it easy to retrofit old fleets and is the rolling stock Safety Case integrated in the solution? OLDFLEETSNEWFLEETS • The solution should work on both new and old fleets • The solution should be non-intrusive • The solution should be updatable over the air without impacting the train
  10. 10. 4. Does the platform protect my data ownership and data quality? Data ownership Privacy protection Data quality, availability & security
  11. 11. 5. Does the platform offer edge computing that is remotely and safely updatable? • Can I adapt sampling rates and choose new parameters to retrieve? • Can I deploy embedded rules to execute inside the device on millisecond data ? • Can I use my domain knowledge to customise the platform with expert rules, classifications, diagnostic studies, in-house expertise?
  12. 12. 6. Domain expertise: Is there out-of-the-box support for diverse teams and use cases? CBM Energy monitoring Counters Predictive maintenance Battery alerts Temperature Threshold alerts Pantographs Fuel monitoring Vibration Real-time data access All Included
  13. 13. 7. Can abnormal behaviour detection be tailored to specific operational contexts?
  14. 14. 8. Does the platform provide a scalable case management tool for handling alerts?
  15. 15. 9. Does the platform enable easy API integration and data sharing with stakeholders? Railfleet Fleet management & predictive maintenance software MMS/ERP Manage spare parts, workshop, billing etc. Real-time streaming from remote condition monitoring equipment Big Data Analytics Predictive maintenance alerts è CSV, HDFS, Parquet, SQL Connectivity on rolling stock Resource centric systemsAction centric application Data centric solution MQTT API API • Controlled web access for third parties • Admin dashboard with central user, assets and permissions management • Excel exports directly usable for end users
  16. 16. How to implement predictive maintenance inside your organisation?
  17. 17. 1 3 2 Be clear on your initial use case Perform a test through a POC (Proof of Concept) Choose a solution that fits the selection checklist 4 Estimate the internal effort of change How to implement predictive maintenance inside your organisation?
  18. 18. Download the checklist: www.railnova.eu/ predictive-maintenance- checklist/
  19. 19. 5. Clients
  20. 20. Our clients
  21. 21. Contact us to learn more about our predictive maintenance solutions! Xavier Jaffré Business Development xavier.jaffre @railnova.eu +32 489 500 892 Babette Müller- Reichenwallner Commercial Manager babette.mueller- reichenwallner @railnova.eu + 49 151 1430 3752 Christian Sprauer Founder and CEO christian.sprauer @railnova.eu +32 491 08 29 43 Kaat Van de Vijver Marketing Manager kaat.vandevijver @railnova.eu + 32 476 61 78 15
  22. 22. RAILNOVA.EU BLOG.RAILNOVA.EU The future of rail fleet management is here... . …time to get on board!

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