Data from the fleet’s onboard diagnostics system will be transmitted while the trains are in service to a purpose-built data analysis centre in Munich where it will be analysed to predict component or system failures. These predictions will be used by specialists to recommend what actions need to be taken to correct the faults which will then be transmitted to DB workshop maintenance staff for either acute or planned maintenance.


All diagnostic data will be available to DB and its maintenance staff during train operation and is presented in what Siemens describes as an easily understandable, user-friendly display. The current condition of a vehicle can thereby be monitored and appropriate action taken, which should reduce vehicle downtime due to faults.

Siemens says the data analyses made at its Mobility Data Services Centre are based on algorithms and models that can make highly reliable predictions about the future behaviour of vehicles and components.