Application of fuzzy pattern recognition in intelligent fault diagnosis systems

In this paper, we attempt to argue that the uncertainty coming from 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.