Predictive maintenance

Anticipating faults before they disrupt traffic: predictive maintenance is an essential lever for ensuring that trains run smoothly every day. By reducing incidents and interruptions, it helps to provide a more reliable service for millions of passengers.

Thanks to new technologies, and more specifically intelligent assistance, remote diagnostics and real-time data analysis, trains report their condition continuously. This means that engineering teams, supported by digital and data experts, can intervene at the right time, with precision.

The result: safer, better-maintained, more available and longer-lasting trains for the mobility of tomorrow.

Data has become a strategic lever for the Rolling Stock Division.

Better collected, better shared and better exploited, it makes it possible to anticipate, optimise maintenance, improve the performance of rolling stock and make operations safer.

There are many tools available:

• Intelligent assistance enables real-time analysis of railway data to optimise maintenance and operations.
• Automatic scanners combined with additive manufacturing allow parts to be digitised and reproduced rapidly.
• Algorithms help to analyse failures based on mechanical behaviour.
• Data has become a genuine maintenance tool for a more agile and responsive industry.