Research on An Intelligent Fault Diagnosis Method for Rolling Bearing Based on Wavelet Packet and PSO-BP Network Algorithm

It was founded that the rolling bearing was the weak link of a platform equipment failure, and it was great significance to research the intelligent fault diagnosis method for the rolling bearing based on monitoring condition of platform equipment.Based on the analysis and study of vibration signals of rolling bearings,an intelligent fault diagnosis method based on wavelet packet and PSO-BP neural network algorithm was proposed in this paper.The frequency band energy features of rolling bearings in platform motor were extracted based on the wavelet packet transform, and the PSO algorithm was used to optimize BP neural network to improve the efficiency of fault pattern recognition. Through simulation it was shown that the method was universal and effective.