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TECHNICAL PAPERS

Mechanical Fault Detection Based on the Wavelet De-Noising Technique

[+] Author and Article Information
Jing Lin

National Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China e-mail: jinglin@mail.ioa.ac.cn

Ming J. Zuo, Ken R. Fyfe

Department of Mechanical Engineering, University of Alberta, Edmonton, Alberta, Canada, T6G 2G8

J. Vib. Acoust 126(1), 9-16 (Feb 26, 2004) (8 pages) doi:10.1115/1.1596552 History: Received May 01, 2002; Revised March 01, 2003; Online February 26, 2004
Copyright © 2004 by ASME
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References

Figures

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Comparison between the pdf of the simulated impulses and the pdf of Gaussian noise with the same mean and standard deviation
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Comparison between the pdf of an impulse and the sparse distributions
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Comparisons among the sparse distributions with different α values
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Illustrations for hard-thresholding, soft-thresholding and MLE thresholding
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An impulse with very heavy Gaussian noise
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(a) Hard-thresholding using the Minimax threshold (b) Soft-thresholding using the Minimax threshold
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Result by MLE thresholding using the Morlet wavelet
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Signals from a gearbox with broken teeth
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Signals from the gearbox in normal state
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Signals from the gearbox with fatigue crack on teeth
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Spectrum (low frequency area) of the signal in Fig. 11
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MLE thresholding based on the Morlet wavelet for the signals from normal gearbox
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MLE thresholding based on Morlet wavelet for the signals from gearbox with cracks on a gear
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(a) Optimal minimax thresholding using hard-threshold (b) Optimal minimax thresholding using soft-threshold
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(a) Signal from a normal roller bearing (b) Signal from a roller bearing with the inner-race damaged
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(a) Spectrum of the signal in Figure 16(a) (b) Spectrum of the signal in Figure 16(b)
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(a) The de-noising result for the signals from the normal roller bearing (b) The de-noising result for the signals from the roller bearing with the inner-race damaged
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(a) Optimal minimax thresholding using hard-threshold (b) Optimal minimax thresholding using soft-threshold

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