Paper Title:
A Correlative Method of Machine Condition Monitoring Based on the Choi-Williams Distribution
  Abstract

In this paper, a new method for time-varying machine condition monitoring is proposed. By Choi-Williams distribution, the interference terms produced by the bilinear time-frequency transform are reduced and the fault signal is processed by the correlation analysis of the Choi-Williams distribution. For machine fault diagnosis, both the feature extractor and classifier are combined to make a decision. It is particularly suited to those who are not experts in the field. Satisfactory results have been obtained from a real example and the effectiveness of the proposed method is demonstrated.

  Info
Periodical
Key Engineering Materials (Volumes 293-294)
Edited by
W.M. Ostachowicz, J.M. Dulieu-Barton, K.M. Holford, M. Krawczuk and A. Zak
Pages
777-784
DOI
10.4028/www.scientific.net/KEM.293-294.777
Citation
G. Yang, Z. Wu, J. J. Gao, "A Correlative Method of Machine Condition Monitoring Based on the Choi-Williams Distribution ", Key Engineering Materials, Vols. 293-294, pp. 777-784, 2005
Online since
September 2005
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$32.00
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