A Correlative Method of Machine Condition Monitoring Based on the Choi-Williams Distribution
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.
W.M. Ostachowicz, J.M. Dulieu-Barton, K.M. Holford, M. Krawczuk and A. Zak
G. Yang et al., "A Correlative Method of Machine Condition Monitoring Based on the Choi-Williams Distribution ", Key Engineering Materials, Vols. 293-294, pp. 777-784, 2005