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Proceedings Paper

Application of fuzzy pattern recognition in intelligent fault diagnosis systems
Author(s): Haiyan He; Daoping Wang; Shaoping Ma
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Paper Abstract

In this paper, we attempt to argue that the uncertainty coming form fuzzy information is ubiquitous in an intelligent fault diagnosis system and that fuzzy pattern recognition is an appropriate tool for the diagnosis of faults in complex devices. In the first place, the characteristics of the faults in a complex equipment system are introduced along with the fuzzy pattern recognition method and principle in intelligent fault diagnosis systems. Then, on the base of the above discussion, the paper gives an applied approach to fault diagnosis that combines the valve value rule with the maximum membership degree rule. Lastly, the practicability and validity of the method is illustrated through a practical example.

Paper Details

Date Published: 24 September 2001
PDF: 6 pages
Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); doi: 10.1117/12.441647
Show Author Affiliations
Haiyan He, Tsinghua Univ. (China)
Daoping Wang, Tsinghua Univ. (China)
Shaoping Ma, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 4554:
Object Detection, Classification, and Tracking Technologies
Jun Shen; Sharatchandra Pankanti; Runsheng Wang, Editor(s)

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