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Defects detection for bearings: using envelope spectra of wavelet transforms
journal contribution
posted on 2023-06-09, 09:37 authored by D F Shi, William WangWilliam Wang, L S QuIn order to overcome the shortcomings in the traditional envelope analysis in which manually specifying a resonant frequency band is required, a new approach based on the fusion of the wavelet transform and envelope spectrum is proposed for detecting and localizing defects in rolling element bearings. This approach is capable of completely extracting the characteristic frequencies related to the defect from the resonant frequency band. Based on the Shannon entropy of wavelet-based envelope spectra, a criterion to select optimal scale to monitor the condition of bearings is also presented. Experiment results show that the proposed approach is sensitive and reliable in detecting defects on the outer race, inner race, and rollers of bearings.
History
Publication status
- Published
Journal
Journal of Vibration and AcousticsISSN
1048-9002Publisher
American Society of Mechanical EngineersExternal DOI
Issue
1Volume
126Page range
567-573Department affiliated with
- Engineering and Design Publications
Research groups affiliated with
- Dynamics, Control and Vehicle Research Group Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2018-01-04First Compliant Deposit (FCD) Date
2018-01-03Usage metrics
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