Research and Application of Intelligent Fault Diagnosis Method for Platform Motor Bearing
In a platform system,the stability loop motor fault will have a serious impact on the system.Therefore,based on the vibration signal of motor bearing,an intelligent fault diagnosis method based on wavelet packet and PSO-BP neural network is proposed.This method extracts the energy characteristics of the platform motor bearing frequency band by wavelet packet transform as the basis of fault diagnosis,and uses PSO algorithm to optimize BP neural network to improve the efficiency of fault pattern recognition,which has certain universality and effectiveness.
motor bearingfault diagnosiswavelet packetPSO-BP neural network
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