Fault Diagnosis System of Rolling Bearing with Surface Damage in Friction Pair Based on Wavelet Analysis

According to the characteristics of fault vibration of rolling bearing(non-stationary signals),a method of fault diagnosis based on wavelet analysis was put forward.With the method,the signals included faulty information of rolling bearing were decomposed and reconstructed by Matlab software,and by zoom frequency spectrum analysis,the feature information of the rolling bearings can be extracted effectively to determine the faulty type of the rolling bearings.Based on the above,a applicable fault diagnosis system of rolling bearing with surface damage in friction pair was developed.Practice proves the method is surefire and its results are stable and reliable.The improvements and extensions can be applied to other vibration signal acquisition and analysis.