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ISSN : 2005-0461(Print)
ISSN : 2287-7975(Online)

Journal of Society of Korea Industrial and Systems Engineering Vol.17 No.30 pp.147-151
DOI :

The prediction of failure point by using failure symptom

Received Finally Revised Accepted

Abstract

In this paper, we presents the prediction of failure point in facility by using the analysis of the failure symptoms. The status of a component is represented by the failure symptoms where as, the failure symptoms are expressed mathematically based on the Fuzzy Theory.

Key Words :

고장징후를 이용한 설비의 고장시점 예측

김광만, 이재원

인덕전문대학 공업경영과, 인하대학교 자동화공학과

초록

키워드 :

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Cited-By

The prediction of failure point by using failure symptom

Abstract

고장징후를 이용한 설비의 고장시점 예측

초록

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