Fault Diagnosis of Relative Position Sensor for High Speed Maglev Train

The relative position sensor provides phase angle information for the traction system. The failure of the sensors directly affects whether the train can operate normally. Based on the analysis of the sensor, the common faults of the sensor are analyzed, and the corresponding fault features are extracted. The fault characteristics of the sensor are presented. Based on the research of the decision tree fault diagnosis method, the improved decision tree based on support vector machine is proposed to realize the fault diagnosis and improve the effect of the diagnosis. Finally, the fault diagnosis platform is designed, and the tests show that the improved decision tree has high diagnosis correct rate.