Optimization of Condition-Based Maintenance Policy for Deteriorating System Based on Monte-Carlo Simulation

Abstract:

Condition-based Maintenance (CBM) can not only efficiently improve the performance of deteriorating system but also guarantee the system operation safety. This paper assumes that the system state is periodically inspected, and a preventive maintenance is performed if the degradation level exceeds a threshold. The effect of maintenance is imperfect, which means that maintenance can restore the system state to somewhere between as good as new and as bad as old. The algorithm is presented to get the solution of long run cost based on Monte-Carlo simulation, and the joint optimization of inspection rate, the threshold value and the number of preventive maintenance activities is investigated for the minimization of long run cost rate. A case study is given to show the procedure of the maintenance model and simulation. Therefore, the correctness and rationality of the model are proved.

• Periodical: Advanced Materials Research (Volume 544)
• Pages: 44-48
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.544.44
• Online since: June 2012
• Authors: En Shun Ge, Qing Min Li, Ao Lin Huang
• Keywords: Long Run Cost Rate, Maintenance, Monte-Carlo, Replacement

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