Optimization of condition-based maintenance for multi-state deterioration systems under random shock

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.

Automated summary

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.