Optimal condition-based preventive maintenance policy for balanced systems

Reliability evaluation of balanced systems has been extensively studied in recent years. However, the research on maintenance optimization for balanced systems is still underexplored. This paper makes a novel contribution to existing literature by proposing a condition-based preventive maintenance (PM) policy for balanced systems with identical components. Each component is subject to continuous degradation and the states of all components are simultaneously detected at discrete time epochs. The system state is evaluated based on the deterioration levels of all components. The system is out of balance once the deterioration level of any component reaches a critical value or the difference between the deterioration levels of two components on the symmetric positions exceeds a specific threshold, whichever occurs first. In this research, PM activities are employed to avoid competing failures. The optimal PM thresholds are determined by minimizing the system maintenance cost within the framework of semi-Markov decision process. An illustrative example is provided to demonstrate the application of the proposed PM policy for balanced systems.

Automated summary

Research on maintenance optimization for balanced systems is limited, and this paper proposes a condition-based preventive maintenance policy to address this gap. The policy aims to prevent competing failures by setting optimal PM thresholds based on minimizing system maintenance costs within a semi-Markov decision process framework. An illustrative example is provided to demonstrate the application of the proposed PM policy for balanced systems.