A Correlative Method of Machine Condition Monitoring Based on the Choi-Williams Distribution
2005 ◽
Vol 293-294
◽
pp. 777-784
Keyword(s):
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.
2003 ◽
Vol 9
(10)
◽
pp. 1103-1120
◽
2002 ◽
pp. 335-354
2021 ◽
pp. 179-187