Research On Rolling Bearing Fault Diagnosis Methods Based On Vibration Signal

Rolling bearing is one of the most familiar components in rotaries; the running states will affect the whole machine's functions directly. Firstly, the fault principle, the fault vibration property, the failure forms and the failure cause are analyzed, Secondly, the paper applies the wavelet analysis and the wavelet packets analysis to the fault diagnosis of the rolling bearings, aiming at the characteristics of the bearing faults, two new methods are brought forward for the fault diagnosis, which are refinement envelope analysis based on the wavelet packets and non-sampling wavelet transform analysis based on the lifting pattern, the new methods have been verified by the experiments. Finally the software for the fault diagnosis system of the rolling bearings is designed by LabVIEW, which can extract the fault characteristics and diagnose the fault of the rolling bearing effectively.