Improving rail network velocity: A machine learning approach to predictive maintenance
Develop innovative machine-learning techniques for railway predictive maintenance. Address big data challenges coming from large and complex multi-detector network. Develop human-interpretable rules to facilitate railway operations. Develop innovative prediction of alarms related to catastrophic component failure in advance.
rail network velocity big data condition based maintenance multiple wayside detectors information fusion predictive modeling