IJCAS

FCM(Fuzzy Cognitive Map) is proposed for representing causal reasoning. Its structure allows systematic causal reasoning through a forward ingerence. By using the FCM, authors have proposed FCM-based fault diagnostic algorithm. However,it can offer multiple interpretations for a single fault. Inprocess engineering, as experience accumulated, some form of quantitatice process knowledge is available. If this information can be integrated into the FCM-based fault diagnosis, the diagnostic resolution can be further improved. The purpose of this paper is to propose an enhanced FCM-based fault diagnostic scheme. Firstly, the membership function of fuzzy set theory is used to integrate quantitatice knowledge into the FCM-based diagnostic scheme. Secondly, modified TAM recall procedure is proposed. Considering that the integration of quantitative knowledge into FCM-based diagnosis requires a great deal of engineering efforts, thirdly, an automated procedure for fusing the quantitative knowledge into FCM- based diagnosis is proposed by utilizing self-learning…..

Keywords: fuzzy cognitive map, fault diagnosis, qualitative approcach, neural network