A fault detection method of bearing in induction motor based on MUSIC algorithm

The feature of vibration signal of defective rolling bearing, and a high - resolution spectral characteristics of MUSIC algorithm were analyzed. A method for detecting bearing faults in induction motors based on the MUSIC algorithm is presented. Compared with FFT analysis method, it is higher in resolution of frequency, more accurate in fault detection and less in computational complexity, which is useful in real - time monitoring. Experimental results show that the fault characteristic components can be obtained accurately through the method presented in this paper even with samples when the occurrence of bearing faults in induction motors, and that the feasibility of the method is confirmed.