For gears and roller bearings, periodic impulses indicate that there are faults in the components. However, it is difficult to detect the impulses at the early stage of fault because they are rather weak and often immersed in heavy noise. Existing wavelet threshold de-noising methods do not work well because they use orthogonal wavelets, which do not match the impulse very well and do not utilize prior information on the impulse. A new method for wavelet threshold de-noising is proposed in this paper; it not only employs the Morlet wavelet as the basic wavelet for matching the impulse, but also uses the maximum likelihood estimation for thresholding by utilizing prior information on the probability density of the impulse. This method has performed excellently when used to de-noise mechanical vibration signals with a low signal-to-noise ratio.
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January 2004
Technical Papers
Mechanical Fault Detection Based on the Wavelet De-Noising Technique
Jing Lin, Post-Doctoral Fellow,
Jing Lin, Post-Doctoral Fellow
National Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China
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Ming J. Zuo, Professor,
Ming J. Zuo, Professor
Department of Mechanical Engineering, University of Alberta, Edmonton, Alberta, Canada, T6G 2G8
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Ken R. Fyfe, Professor
Ken R. Fyfe, Professor
Department of Mechanical Engineering, University of Alberta, Edmonton, Alberta, Canada, T6G 2G8
Search for other works by this author on:
Jing Lin, Post-Doctoral Fellow
National Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China
Ming J. Zuo, Professor
Department of Mechanical Engineering, University of Alberta, Edmonton, Alberta, Canada, T6G 2G8
Ken R. Fyfe, Professor
Department of Mechanical Engineering, University of Alberta, Edmonton, Alberta, Canada, T6G 2G8
Contributed by the Technical Committee on Vibration and Sound for publication in the JOURNAL OF VIBRATION AND ACOUSTICS. Manuscript received May 2002; Revised March 2003. Associate Editor: M. I. Friswell.
J. Vib. Acoust. Jan 2004, 126(1): 9-16 (8 pages)
Published Online: February 26, 2004
Article history
Received:
May 1, 2002
Revised:
March 1, 2003
Online:
February 26, 2004
Citation
Lin, J., Zuo, M. J., and Fyfe, K. R. (February 26, 2004). "Mechanical Fault Detection Based on the Wavelet De-Noising Technique ." ASME. J. Vib. Acoust. January 2004; 126(1): 9–16. https://doi.org/10.1115/1.1596552
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