Every day, thousands of passengers rely on the Rhein-Ruhr-Express (RRX) to get from A to B. But behind the scenes of smooth operations lies a powerful digital brain. What if trains could predict when they need maintenance – before a failure occurs? What if downtime could be minimized through real-time insights? Achieving up to 100 percent system availability The train rolls into the depot, the gates close, and the maintenance crew swings into action – the clock is ticking. Within a matter of hours, the Rhein-Ruhr-Express (RRX) train must roll back out of the Rail Service Center (RSC), operated by Siemens Mobility in Dortmund, and be back on the track. 84 Siemens Desiro HC vehicles have connected Cologne, Düsseldorf and the Ruhr region since 2018 – operating around the clock. TÜV SÜD validated that the RRX fleet demonstrated an availability level of almost 100 percent over a defined period of time (last validation through September 2024). A secret: Artificial intelligence helps to monitor the condition of the train components, and many processes are automated.  A team member checks the Health States dashboard for monitoring the condition of the bogies. The trains spend little time in the depot because repairs can be planned in advance thanks to the condition monitoring. If there's a hint of a defect, the parts affected will be replaced at exactly the right time, in other words, not too soon and not too late. That improves efficiency. The RSC works like a Formula 1 pit stop: in and out of the pit as quickly as possible. More trains in less time, so less space is needed. The RSC in Dortmund has just 70,000 square meters of space, which is very compact for a depot that services 84 vehicles. That makes it a role model for other national and international maintenance centers where trains are kept in good running order by Siemens Mobility. All customers benefit from the knowledge within the Siemens network of experts, as the AI algorithms constantly keep on learning, for instance. ... | 
