24 September 2001 Application of fuzzy pattern recognition in intelligent fault diagnosis systems
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Proceedings Volume 4554, Object Detection, Classification, and Tracking Technologies; (2001) https://doi.org/10.1117/12.441647
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haiyan He, Daoping Wang, Shaoping Ma, "Application of fuzzy pattern recognition in intelligent fault diagnosis systems", Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); doi: 10.1117/12.441647; https://doi.org/10.1117/12.441647
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