The appearance of overlapping in the results derived by continuous wavelet transform (CWT) smears the spectral features and makes the results difficult to interpret. This will significantly affect the accuracy of analysis of anomalous signals. Aiming at minimizing the undesired effect of overlapping, a new soft-thresholding method in terms of exponential functions is proposed. Using the proposed soft-threshold and combining with Donoho’s approach for reducing the structures induced by noise, a strategy for purifying the results derived by the CWT is designed. A series of simulated and practical experiments show that, after adopting the proposed strategy, the results of CWT are further purified and thereby the spectral features of the inspected signal become more explicit and much more easily identified.
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June 2005
Technical Briefs
An Advanced Strategy for Detecting Impulses in Mechanical Signals
Wen-xian Yang,
Wen-xian Yang
Institute of Vibration Engineering, Northwestern Polytechnical University, Xi’an 710072, China
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Peter W. Tse
Peter W. Tse
Smart Asset Management Research Laboratory, Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China
Search for other works by this author on:
Wen-xian Yang
Institute of Vibration Engineering, Northwestern Polytechnical University, Xi’an 710072, China
Peter W. Tse
Smart Asset Management Research Laboratory, Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China
J. Vib. Acoust. Jun 2005, 127(3): 280-284 (5 pages)
Published Online: June 1, 2005
Article history
Received:
March 21, 2002
Revised:
October 7, 2004
Online:
May 18, 2005
Citation
Yang, W., and Tse, P. W. (June 1, 2005). "An Advanced Strategy for Detecting Impulses in Mechanical Signals." ASME. J. Vib. Acoust. June 2005; 127(3): 280–284. https://doi.org/10.1115/1.1888590
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