University of Sussex
Browse

File(s) under permanent embargo

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 Qu
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.

History

Publication status

  • Published

Journal

Journal of Vibration and Acoustics

ISSN

1048-9002

Publisher

American Society of Mechanical Engineers

Issue

1

Volume

126

Page range

567-573

Department 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

2018-01-04

First Compliant Deposit (FCD) Date

2018-01-03

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC