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Optimal selective maintenance for multi-state systems in variable loading conditions

机译：可变负载条件下多状态系统的最优选择性维护

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摘要

This paper studies the selective maintenance problem for multi-state series systems working in variable loading conditions in the next mission. In the mission, a component's degradation depends on its current state and the load applied on it. A load-dependent degradation model is proposed for multi-state components operating in variable loading conditions. This model is inspired by the load-sharing model where many components share a common workload and the failure rate of a component depends on the state of other components. A Monte Carlo simulation method is presented to simulate the multi-state component's degradation and to evaluate the system reliability. The final objective is to determine the best selective maintenance strategy to maximize the expected system reliability in the next mission within available resources. An illustrative example, reliability estimation results, and analysis of optimal selective maintenance scenarios for different levels of budget limitation are provided.
机译：本文研究在下一任务中在可变负载条件下工作的多状态串联系统的选择性维护问题。在执行任务时，组件的性能下降取决于其当前状态和所施加的负载。针对在可变负载条件下运行的多状态组件，提出了一种与负载有关的退化模型。该模型的灵感来自于负载共享模型，其中许多组件共享一个共同的工作负载，并且组件的故障率取决于其他组件的状态。提出了一种蒙特卡罗仿真方法，以模拟多态组件的退化并评估系统可靠性。最终目标是确定最佳的选择性维护策略，以在可用资源范围内的下一次任务中最大化预期的系统可靠性。提供了说明性示例，可靠性估计结果以及针对不同级别的预算限制的最佳选择性维护方案的分析。

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