期刊
APPLIED MATHEMATICAL MODELLING
卷 115, 期 -, 页码 80-99出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2022.10.036
关键词
Multi-state deterioration; Random shock; Dependent failure processes; Condition-based inspection; Condition-based preventive maintenance; Multi-objective optimization
This paper proposes a new condition-based maintenance policy for systems subject to multi-state deterioration and random shock simultaneously. The Semi-Markov process and compound Poisson process are used to model the failure processes and dependent relationships. A condition-based inspection policy is designed to capture the states where maintenance actions are needed. The optimal values of the proposed maintenance policy are obtained by Monte Carlo simulation technique.
This paper proposes a new condition-based maintenance policy for systems subject to multi-state deterioration and random shock simultaneously. Both Semi-Markov process and compound Poisson process are employed to explicitly model the exposed failure processes and dependent relationships between them. A condition-based inspection policy is de-signed to timely capture the states where maintenance actions are needed. The influence factors of preventive maintenance are specified as random shock and ageing process re-spectively. The Monte Carlo simulation technique is employed to obtain the optimal values about the proposed maintenance policy. An illustrate example about a power generator is taken into consideration to show how the newly developed maintenance policy works in real practice. The comparison analysis demonstrates that (1) the proposed condition-based inspection can effectively reveal the maintenance time points within limited inspection cost; (2) the new maintenance policy can achieve better objective values of availability and maintenance cost.(c) 2022 Elsevier Inc. All rights reserved.
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