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발전기 구성요소의 신뢰도 모델 조합을 이용한 고장확률 예측
이성훈(Sung-Hoon Lee),변융태(Yoong-Tae Byun),김진오(Jin-O Kim) 대한전기학회 2006 대한전기학회 학술대회 논문집 Vol.2006 No.11
This paper presents a methodology to predict a failure probability related to the aging generating units in Korea power system. Each generator is represented by a combined reliability model of its individual components, which is determined by failure data. The Weibull distribution is used to calculate failure probability and its parameters are obtained from Type Ⅱ Censoring. Consequently, the proposed methods would likely to permit utilities to reduce overall costs in the new deregulated environment.
Quasi-renewal 이론을 이용한 발전설비의 불완전한 유지보수 예방정비 계획
金亨埈(Hyung-Jun Kim),卞隆泰(Yoong-Tae Byun),金鎭吾(Jin-O Kim),李埈敬(Jun-Kyong Lee) 대한전기학회 2008 전기학회논문지 Vol.57 No.5
Recently, the research of PM (Preventive Maintenance) method on the RCM(Reliability-Centered Maintenance) of the system equipment is being actively advanced for a few years. For the most of the current power equipment maintenance, the state of the equipment after maintenance is assumed to be becoming 'as good as new ones' state. However, the state of the power equipment is maintained like the states of the between 'as good as new ones' and 'as bad as old ones' by imperfect maintenance that implies the life decrease of the equipment by frequent breakdown, the error of maintenance process, and so on. So, the Maintenance method considering the real case has to reflect Imperfect maintenance than perfect maintenance. This paper suggests the Preventive Maintenance method by using Quasi - Renewal Theory for the gas turbine equipment as deliberating the imperfect maintenance for the real cases.