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Defect Detection for Bearings Using Envelope Spectra of Wavelet Transform
journal contribution
posted on 2023-06-07, 22:50 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.
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Publication status
- Published
Journal
Journal of Vibration and AcousticsISSN
1048-9002Publisher
American Society of Mechanical EngineersExternal DOI
Issue
4Volume
126Page range
567-573Pages
7.0Department affiliated with
- Engineering and Design Publications
Notes
To overcome shortcomings in traditional envelope analysis for manually specifying the resonant frequency band, the new approach is based on fusion of wavelet transform and envelope spectrum for detecting and localizing the defect on the rolling element in bearings. This approach can completely extract the characteristic frequencies of defect from resonant frequency band overall. Practical example shows that the proposed approach is sensitive and reliable to detect defects on outer race, inner race and rolling element. Wang (w.j.wang@sussex.ac.uk) acted as a supervisor of Shi (dongfengshi@nottingham.ac.uk ), and supported the work, contributed in technical details and certified the writing presentation.Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-06Usage metrics
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