WheelSense
Why existing market approaches fell short – and what WheelSense does differently The rail industry has been working to optimize wheel–rail contact for decades. Numerous projects, sensor-based solutions, and research…
Data-driven wheelset maintenance.
Use existing wheelset data to predict wear, optimize maintenance, and reduce downtime.
More than a measurement database.
WheelSense turns data into better maintenance decisions.
Complementing your fleet management system, WheelSense continuously analyzes your existing measurement data, identifies wear patterns and trends early, and provides actionable recommendations for your ECM 3 and ECM 4 teams.
Identify maintenance needs earlyUnderstand how wheelset wear is evolving before failures occur. Our algorithms automatically analyze trends across multiple measurement parameters and provide early warnings.
Precise workshop schedulingWheelSense continuously monitors wheel flange thickness and wheel flange height to identify reprofiling needs early, helping you avoid discovering the need for URD treatment only during the next workshop visit.Lifecycle transparency for every vehicleUnlock more value from your data and gain early insight into the condition of your wheelsets. This allows for tailored profile recommendations for individual vehicles and a differentiated approach to the last reprofiling — extending service life while reducing costs.
Precise workshop schedulingWheelSense continuously monitors wheel flange thickness and wheel flange height to identify reprofiling needs early, helping you avoid discovering the need for URD treatment only during the next workshop visit.Lifecycle transparency for every vehicleUnlock more value from your data and gain early insight into the condition of your wheelsets. This allows for tailored profile recommendations for individual vehicles and a differentiated approach to the last reprofiling — extending service life while reducing costs.
Trusted by leading companies.
With these tailored projects, we have already delivered significant impact for our customers.
By implementing WheelSense, we gain deeper insight into the condition of our fleet and can make data-driven decisions to improve wheelset management. The use of dynamic inspection limits will significantly increase efficiency and help us allocate our resources more effectively.
Data-driven business models and innovation depend on targeted access to the right information.
To enable this, DB Cargo AG developed a cross-functional software solution called FeedbackLoop. The platform makes it possible to gather relevant information in a focused manner and analyze it afterwards. FeedbackLoop is therefore an ideal complement to the Condition Based Maintenance approach already established at DB Cargo AG. DB Cargo AG partnered with Track Forward GmbH, Accenture, and Boom Software AG to design and develop the application.
Insights
Understand what drives your fleet.
From wear forecasting to optimizing reprofiling cycles, our insights give you exclusive insight into the world of WheelSense and show you how to unlock the full potential of your wheelsets.
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