Research on Solenoid Valve of Brake System Fault Diagnosis Based on Wavelet Packet Decomposition and BP Neural Network
Aiming at the difficulty in identifying solenoid valve faults in rail transit brake control system,a solenoid valve fault diagnosis method is proposed based on wavelet packet decomposition and BP neural network.This method first decomposes the original signal by wavelet packet decomposition;then,performs feature extraction on the decomposed wavelet packet coefficients;finally,uses the BP neural network algorithm to diagnose the features extracted from different faults.To approve this method,simulated validation is firstly implemented based on Simulink system.Results of simulated validation shows that this method has been approved theoretically.Based on result of simulated validation,we further carry out diagnostics validation on entities of solenoid valve.In this experiment,we completely compare differences among three kinds of solenoid valve,including normal solenoid valves,abnormal solenoid valves which valve-spools are stuck,and abnormal solenoid valves which springs lose efficacy.Results of validation on entities approve the effectiveness of this method from aspect of engineering.
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维普
