Abstract
As the system operates, the system risk level will also dynamically change. In this paper, a dynamic risk assessment of the system is carried out by considering the system reliability and system risk losses, both of which vary over time. Then, based on the system risk level, different maintenance measures are applied to the components that have reached the preventive maintenance thresholds, including medium repair, major repair, and replacement. If the system risk is relatively light, low-cost medium repair will be adopted to save maintenance resources. Thus, a novel maintenance optimization strategy for multi-component systems considering the system risk level and aiming to minimize maintenance costs is proposed. Finally, the feasibility and effectiveness of the model are verified through a numerical case of the air conditioning temperature regulation subsystem.
Published Version
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