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Smart Fleet Maintenance Summit

Improving the Circular Economy of
Rolling Stock Maintenance


16th & 17th November 2021, London

Virtual Event: Watch Live + Content Available On-Demand for 12 weeks


Fabien Turgis

Research Engineer, Predictive Maintenance System for Railway Rolling Stock


After a Ph.D. in experimental robustness improvement for railway passengers access systems, he started working at IKOS in 2012, studying and designing predictive maintenance systems both for Bombardier (2012-2016) and SNCF (2016-today).

For 10 years he has designed, improved and deployed system expert based predictive maintenance systems. These systems are currently used to handle a fleet of more than 400 train in operation in the Paris area (France) by the SNCF.

In parallel he is overseing for IKOS Lab (R&D dept. of IKOS) the design and the development of a new learning predictive maintenance platform, called IKIM, which combines System Expert, Machine Learning, human in the loop and GMAO.

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