Adaptive Fault Diagnosis System for Railway Track Circuits

Abstract

AbstractRailway track circuits is an important device of the train control system. Track circuits should realize the occupation detection of train on the track. However, failure of track circuit is unavoidable and disruptive, especially in the main lines in China. To realize the fault detection and diagnosis of track circuit, the paper proposed a hybrid method combining the model-based approach and the pattern recognition approach. The model-based approach is used to acquire the normal data and faulty data based on the multi-track model. The pattern recognition approach is used to extract fault features from the simulation data and build the fault diagnosis system. In the final, a test rig containing track circuit and condition monitoring system is built to carry out the fault diagnosis test. According to the test results, it shows that the proposed method can achieve the fault diagnosis accuracy up to 98% and fault diagnosis time within 15 s.KeywordsTrack circuitFault diagnosisModel basedHybrid method