퍼지개념을 이용한 고성능 고장진단 시스템의 설계

Design of High Efficient Fault Diagnostic System by Using Fuzzy Concept

  • 이쌍윤 (군산대학교 제어계측공학과) ;
  • 김성호 (군산대학교 제어계측공학과) ;
  • 권오신 (군산대학교 제어계측공학과) ;
  • 주영훈 (군산대학교 제어계측공학과)
  • 발행 : 1997.10.01

초록

FCM(Fuzzy Cognitive Map) is a fuzzy signed directed graph for representing causal reasoning which has fuzziness between causal concepts. Authors have already proposed FCM-based fault diagnostic scheme and verified its usefulness. However, the previously proposed scheme has the problem of lower diagnostic resolution as in the case of other qualitative approaches. In order to improve the diagnostic resolution, a concept of fuzzy number is introduced into the basic FCM-based fault diagnostic algorithm. By incorporation the fuzzy number into fault FCM models, quantitative information such as the transfer gain between the state variables can be effectively utilized for better diagnostic resolution. Furthermore, an enhanced TAM(Temporal Associative Memory) recall procedure and modified and modified pattern matching scheme are also proposed.

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