Earticle

초록

영어

As the loss from break-downs and errors, which became more frequent with the growth of elaborateness, complexity and in scale of the plant and equipments, are enormous, the improvement in the reliability, maintenance, safety, and qualify become to have interest. The fault diagnosis is a systematic and unified method to find errors, which is based on the interpretation that data, subconsciously, have noises. But, as most of the methods are inferences based on binomial logic, the uncertainty is not correctly reflected. In this study, we suggest, to manage the uncertainty in the system efficiently on the point of predictive maintenance, We should use fuzzy expert system, which make the decision considering uncertainty possible by taking linguistical variable and fixed quantity by using the fuzzy theory concepts on the basis of an expert's direct observation and experience.

목차

Abstract
 1. 서론
 2. 고장진단
  2.1 고장 진단
  2.2 설비 보전
 3. 퍼지 전문가 시스템
  3.1 전문가시스템에서 불확실성의 처리기법
  3.2 퍼지전문가 시스템
  3.3 퍼지 사건수 분석
 4. 적용례 및 고찰
  4.1 컴퓨터 고장 예측
  4.2 퍼지사건수분석 기법의 적용
 5. 분석 및 결론
 참고문헌

저자

• 최성운 [ Choi, Sung Woon | 경원대학교 공과대학 산업공학과 ]
• 이영석 [ Lee, Young Suk | 경원대학교 산업공학과 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  대한안전경영과학회지 [Journal of Korea Safety Management & Science]

• 간기

  계간

• pISSN

  1229-6783

• eISSN

  2288-1484

• 수록기간

  1999~2025

• 십진분류

  KDC 530 DDC 620