Maintenance intelligence for rail vehicles
When trains just know when to come home: Maintenance intelligence. Imagine that maintenance was based on data instead of mileage. We make it possible through constant monitoring of train and wayside data from operations. We start by anticipating faults before they happen and reducing corrective maintenance.
When trains just know when to come home: Maintenance intelligence. Imagine that maintenance was based on data instead of mileage. We make it possible through constant monitoring of train and wayside data from operations. We start by anticipating faults before they happen and reducing corrective maintenance.
As we collect more and more data, we can optimize these predictions even more and enable a condition-based approach to preventive maintenance in railways. In the depot, we then apply lean principles for the shortest possible throughput time and sustainable resource use with our predictive maintenance solutions.
Improving maintenance planning with digitalization
Fewer unscheduled depot stops
Real-time data collected from trains in operation enable precise maintenance planning, with depot stops only when they’re necessary – neither too early nor too late. This reduces unscheduled depot stops and interventions for corrective maintenance by up to 30%.
Possible reduction of maintenance costs
Efficient maintenance planning, reduced troubleshooting, and optimized throughput: Data-triggered, condition-based maintenance extends intervals, eliminates unnecessary work like premature part replacement, and reduces maintenance costs by up to 15 percent.
System availability
Automated measurements and condition-based maintenance intelligence consistently prevents unplanned downtime by enabling maintenance that’s scheduled based on actual need instead of fixed intervals. This ensures fleet availability rates of up to 100%.
Maintenance intelligence and decision-making redefined – with the Railigent X Application Suite
The app for 100% fleet availability through intelligent maintenance
The opportunities created by the Railigent X Application Suite for rail maintainers are numerous. With the right applications, it’s possible to acquire a complete overview of all events in the vehicle fleet and on the track. Fleet Monitoring 5 is the central app for maintainers who want to remotely monitor the condition of their rolling stock assets and efficiently take action. By providing easy access to data and efficient workflow support, Fleet Monitoring 5 helps increase reliability and availability and reduce service delays and maintenance costs.
Best-in-class maintenance with a digital twin of rail vehicles
Maintenance intelligence with a digital twin for rolling stock
With the digital twin, we bring together vehicle and landside information from distributed systems into one consistent display for intelligent maintenance. Data analytics, prediction models, and anomaly detection provide insights into system behavior and asset health status. The time to maintenance (TTM) and remaining useful life (RUL) can be predicted, as can future events. But the digital twin doesn’t just help us identify and locate the need for action: It also allows us to simulate maintenance tasks. That improves maintenance production planning and execution and ensures that the right parts and tools are at hand on time. We also use Building Information Modeling (BIM) to simulate, evaluate, and improve depot layouts to design the most efficient maintenance workflows.
Maintenance intelligence with great references
The ability to predict and eliminate errors before they occur.
Predictive maintenance solutions for 100% system availability over the whole lifecycle
Rhein-Ruhr-Express RRX | Dortmund, Germany
- High availability of 100% thanks to predictive maintenance for railways and digital services
- Cutting-edge paperless depot with full-service staff, 3D printer, lifting jacks, train wash, underfloor wheel lathe, and more
- Minimized lifecycle costs, including system price, maintenance costs, and energy consumption
