Development of Process Fault Diagnostic System Using Fuzzy Reasoning

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  • YANG Xiao-Zong
    Department of Systems Engineering, Faculty of Engineering, Okayama University
  • SUZUKI Kazuhiko
    Department of Systems Engineering, Faculty of Engineering, Okayama University
  • SHIMADA Yukiyasu
    Department of Systems Engineering, Faculty of Engineering, Okayama University
  • SAYAMA Hayatoshi
    Department of Systems Engineering, Faculty of Engineering, Okayama University

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  • ファジィ推論によるプロセス異常診断システムの開発
  • ファジィ スイロン ニヨル プロセス イジョウ シンダン システム ノ カイハ

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Abstract

<p>It is required to deal with the unvertainty information about process abnormal knowledge and running data, the heuristic experience of specialist, and the fuzziness of language for knowledge representation for developing an actual process fault diagnostic system. This paper presents an approach to construction of a process fault diagnostic system by use of fault tree analysis and fuzzy reasoning. The production rules are constructed on the basis of the information about minimal cut sets of a fault tree and the fault propagation in the process. The fuzziness about the consequent part in a rule is determined by proposing fuzzy failure analysis, and stored in the knowledge base as the form of failure possibility distribution. We apply fuzzy reasoning to fault diagnosis by matching the pattern of the grades of process operation data with the knowledge base. The positive causes and their diagnostic grades of process abnormality are estimated from the results of fuzzy reasoning. Finally, we show and verify the practivality of the proposed method by applying the diagnostic system to a laboratory plant.</p>

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