Application of Wavelet Analysis in Fault Diagnosis for Asynchronous Motor by Simulation

Abstract

In this paper, the wavelet analysis is used in the fault diagnosis of asynchronous motor, emulating fault signal by the simulation software. Then the faults are diagnosed according to analysis signal by the wavelet analysis. Wavelet analysis is one kind of late-model effective fault diagnosis method, which can express local characteristics of signal in both time domain and frequency. The model is built in MATLAB/Simulink, emulating the signal of asynchronous motor.