Detection des défauts de roulement du moteur asynchrone par la transformée en ondelette

Abstract

This work presented a method of Rolling Element Bearings (REB) fault diagnosis based on Wavelet Transform (WT) and Fast Fourier Transform (FFT). A case study on SKF bearing diagnosis with defective inner race and outer race has shown that The use of the combination of WT and FFT provides more information related to the bearing fault detection compared with the FFT frequency spectrum alone which can be used only for a stationary signal. This method can greatly improve the accuracy of diagnosis. Hence, the proposed method is a successful approach for vibration monitoring. It remains to test its application on a signal containing other types of faults.