Application of an impulse response wavelet to fault diagnosis of rolling bearings

To target the characteristic of roller bearing fault vibration signals, the impulse response wavelet is constructed by using continuous wavelet transform to extract the feature of fault vibration signals, based on which two methods namely scale-wavelet power spectrum comparison and auto-correlation analysis of time-wavelet power spectrum are proposed. The analysis results from roller bearing vibration signals with out-race or inner-race fault show that the two proposed methods can detect the faults of roller bearing and identify fault patterns successfully.