Study on a Failure Prediction Method Using Monitoring Data from Motor Point Machines

Motor point machines are very important equipment for a train operation system. Failure of a machine is directly linked with transport disorders. Therefore, such failures should be prevented. The authors examined various failure prediction methods in order to detect signs of failure and to maintain the machines before failure occurrence. With some failure prediction methods by using monitoring data from motor point machines, the authors studied whether or not the authors could find signs of operation failure. As a result, the authors found signs from some methods and confirmed that some methods are effective for maintenance.