Wavelet Analysis and Envelope Detection For Rolling Element Bearing Fault Diagnosis—Their Effectiveness and Flexibilities

[+] Author and Article Information
Peter W. Tse, Y. H. Peng, Richard Yam

Smart Asset Management Laboratory, Department of Manufacturing Engineering & Engineering Management, City University of Hong Kong, Tat Chee Ave., Hong Kong

J. Vib. Acoust 123(3), 303-310 (Mar 01, 2001) (8 pages) doi:10.1115/1.1379745 History: Received April 01, 2000; Revised March 01, 2001
Copyright © 2001 by ASME
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A narrow band spectrum in (a) shows no sign of bearing fault, but in (b) an envelope detection shows outer-race defect 20
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Process of envelope detection to reveal periodic impulses 21
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The components of a motor-pump rotary machine
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(a) Envelope spectrum used to identify the outer-race defect (b) Envelope spectrum used to identify the inner-race defect (c) Envelope spectrum used to identify the roller defect
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(a) Results of a healthy bearing using wavelet analysis (b) Results of outer-race defect using wavelet analysis (c) Results of inner-race defect using wavelet analysis (d) Results of rolling element defect in a wavelet analysis
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(a) Normal bearing running condition (b) Inner-race defect generates impacts at around 3.3 ms (c) Rolling element defect generates impacts at around 8.8 ms
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Additional hardware for FFT and envelope detection



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