Abstract
This paper proposes a condition-based maintenance strategy for multi-component systems under degradation failures. The maintenance decision is based on the minimum long-run average cost rate (LACR) and the maximum residual useful lifetime (RUL), respectively. The aim of this paper is to determine the optimal monitoring interval and critical level for multi-component systems under different optimization objectives. A preventive maintenance (PM) is triggered when the degradation of component exceeds the corresponding critical level. Afterwards, the paper discusses the relationship between the critical level and the monitoring interval with regards to the LACR and RUL. Methods are also proposed to determine the optimal monitoring interval and the critical level under two decision models. Finally, the impact of maintenance decision variables on the LACR and RUL is discussed through a case study. A comparison with conventional maintenance policy shows an outstanding performance of the new model.
Highlights
Maintenance decision-making is crucial to reduce cost and enhance the productivity of industries [1,2]
In this Quantities part, we focus on derivation of a preventive maintenance (PM) action or costlyofcorrective maintenance (CM) action within a monitoring interval
We have investigated the relationship of optimal residual useful lifetime (RUL) and decision variables
Summary
Maintenance decision-making is crucial to reduce cost and enhance the productivity of industries [1,2]. It has been proved by longstanding practices that condition-based maintenance (CBM). Hundreds of CBM models have been reported in literature [6,7,8,9,10], and most of them assumed that the system can completely be restored to the original state These assumptions, are not practical in reality and need to be relaxed in the CBM framework [11]. In CBM modeling, the degradation process of most engineering systems can be generally divided into two phases [13]:
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