Induction Motor Bearing Fault Detection using Wavelet-based Envelope Analysis

This paper proposes a new signal processing approach based on the fusion of the wavelet transform and envelope spectrum to extract features of defects in a number of induction motor bearing conditions. The bearing conditions considered are a normal bearing and bearings with outer and inner race faults. This approach provides one solution to overcome the shortcomings of the traditional envelope analysis in finding the most suitable resonant frequency band for demodulation. Experiment results show that the proposed approach is capable of completely extracting the characteristic frequencies related to the defects in rolling element bearings.