Defects detection for bearings: using envelope spectra of wavelet transforms

Shi, D F, Wang, W J and Qu, L S (2004) Defects detection for bearings: using envelope spectra of wavelet transforms. Journal of Vibration And Acoustics, 126 (1). pp. 567-573. ISSN 1048-9002

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In 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.

Item Type: Article
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Research Centres and Groups: Dynamics, Control and Vehicle Research Group
Subjects: T Technology > TJ Mechanical engineering and machinery
Depositing User: William Wang
Date Deposited: 04 Jan 2018 11:14
Last Modified: 04 Jan 2018 11:14

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