Process Fault Diagnosis by Using Fuzzy Cognitive Map

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  • LEE Kee-Sang
    Department of Electrical Engineering, Faculty of Engineering, Dankook University
  • KIM Sung-Ho
    Department of Control and Instrumentation Engineering, Faculty of Engineering, Kunsan National University
  • SAKAWA Masatoshi
    Department of Industrial and Systems Engineering, Faculty of Engineering, Hiroshima University
  • INUIGUCHI Masahiro
    Department of Industrial and Systems Engineering, Faculty of Engineering, Hiroshima University
  • KATO Kosuke
    Department of Industrial and Systems Engineering, Faculty of Engineering, Hiroshima University

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  • Process Fault Diagnosis by Using Fuzzy

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In this paper, a method of the fault diagnosis based on FCM (Fuzzy Cognitive Map) is proposed. FCM which can store uncertain causal knowledge is essentially fuzzy signed directed graphs with feedback. The proposed basic fault diagnostic algorithm is considered as a simple transition from Shiozaki's signed directed graph method to FCM framework. It can simply identify the origin of the fault and can further be expanded to hierarchical fault diagnostic scheme. In particular, as the proposed scheme takes a shorter computing time in comparison with other methods, it can be used for on-line fault diagnosis of large and complex processes where conventional fault diagnostic methods can not be applied. Examples highlighting the use of the proposed scheme are presented.

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