IoT platforms for predictive maintenance of railways vehicle fleets

In the current issue of the journal "Eisenbahntechnische Rundschau" (12/2020) an article by PD Dr.-Ing. habil. Lars Schnieder, Dr.-Ing. Ulrich Bock and Daniel Pal has been published.

According to basic legal requirements, railway companies have to ensure safe and proper operation. Maintenance plays a major role in this context. With their maintenance activities, the transport companies pursue the goals of a high-quality operation from the passenger's point of view, a high availability of vehicles for the ongoing operation, the economic efficiency especially in the inter- and intramodal competition as well as an improvement of the safety of the operation processing.

Digitalization opens up the possibility of predictive maintenance based on comprehensive status data of the various subsystems of rail vehicles collected during operation. The article presents the criteria for selecting a suitable architectural concept for an IoT platform for predictive maintenance of railway vehicle fleets.

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