부품의 가동형태에 따른 고장진단 모델 연구


A Study on Fault Diagnostic Model for Behaviour Appearance of Components

박주식, 하정호, 강경식

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This study deals with the application of knowledge-based engineering and a methodology for the assessment & measurement of reliability, availability, maintainability, and safety of industrial systems using fault-tree representation. A fuzzy methodology for fault-tree evaluation seems to be an alternative solution to overcome the drawbacks of the conventional approach. To improve the quality of results, the membership functions must be approximated based on heuristic considerations. Conventionally, it is not always easy to obtain a system reliability for components with different individual failure probability density functions(p.d.f.), We utilize fuzzy set theory to solve the adequacy of the conventional probability in accounting and processing of built-in uncertainties in the probabilistic data. The purpose of this study is to propose the framework of knowledge-based engineering through integrating the various sources of knowledge involved in a FTA.


 1. 서론
 2. 고장진단 전문가 시스템의 이론
  2.1 고장예측방법
  2.2 고장진단 전문가 시스템 개요
  2.3 Fuzzy추론
 3. FFTA 고장진단절차
 4. 사례연구
 5. 결론
 6. 참고문헌


  • 박주식 Park Joo Sic. 명지대학교 산업공학과 박사수료
  • 하정호 Ha Jung Ho. 명지대학교 산업공학과 박사수료
  • 강경식 Kang Kyung Sik. 명지대학교 산업공학과 교수


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