Gain insight into the real-time operational condition of tracks and trains
Predictive Analytics are drastically changing the transport landscape. Patterns in large data sets can give away key information for efficiency gains:
- reducing the number of failures,
- the amount of unplanned maintenance
- and the required level of reserve asset capacity.
How we lead the research in Predictive Analytics for rail
In the DyVerSIFy research project we investigated how to collect and present insightful data to enable predictive maintenance. The result? A new analytics platform that visualizes anomaly detection and root cause analysis in dynamic dashboards.
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