Fault Diagnosis of Rolling Bearing Based on Wavelet Packet and Hilbert Envelope Spectrum
A rolling bearing fault diagnosis method based on the combination of wavelet packet and Hilbert envelope spectrum is proposed to address the problem of difficulty in extracting fault characteristic frequencies due to the presence of multiple interference signals in the fault signal of rolling bearings.Firstly,identify the frequency bands with fewer interference signals in the frequency domain.Secondly,use wavelet packets to decompose fault signals and reconstruct signals in frequency bands with less interference signals.Then,an envelope spectrum is generated for the reconstructed signal to extract the characteristic frequency of rolling bearing faults.Through signal analysis of faults in the outer and inner rings of rolling bearings,it has been proven that this method can accurately identify faults in the outer and inner rings of rolling bearings.
rolling bearingfault diagnosiswavelet packethilbert envelope spectrum
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