Fault Diagnosis of Rolling Bearings Based on Resonance-based Sparse Signal Decomposition and Energy Operator Demodulating

When local defects occurred in a rolling bearing,the vibration signal of the rolling bearing always has periodic impulse components.Furthermore,rolling bearings often run under complex working conditions and the vibration signals usually accompany with other components such as rotating harmonic components and noises.Therefore,it is difficult to detect a rolling bearings’ fault by making demodulating analysis on the vibration signal of the rolling bearing.Aiming at this problem,a fault diagnosis method of rolling bearings based on the resonance-based sparse signal decomposition and energy operator demodulating was proposed.This method separated the impulse from the vibration signals of a rolling bearing by using resonance-based sparse signal decomposition.Using energy operator demodulating to calculate the instantaneous amplitude,then the cycle of the impulse component can be acquired from the spectrum of the instantaneous amplitude and the rolling bearing fault can be diagnosed.Simulation and application examples have proved the effectiveness of the method.