The exploration of component states for optimizing maintenance schedules in complex systems has garnered significant interest from researchers. However, current literature usually overlooks the critical aspects of system flexibility and reconfigurability. Judicious implementation of system reconfiguration can effectively mitigate system downtime and enhance production continuity. This study proposes a dynamic condition-based maintenance policy considering reconfiguration for reconfigurable systems. A double-layer decision rule was constructed for the devices and systems. To achieve the best overall maintenance effect of the system, the remaining useful life probability distribution and recommended maintenance time of each device were used to optimize the concurrent maintenance time window of the devices and determine whether to reconfigure them. A comprehensive maintenance efficiency index was introduced that simultaneously considered the maintenance cost rate, reliability, and availability of the system to characterize the overall maintenance effect. The reconfiguration cost was included in the maintenance cost. The proposed policy was tested through numerical experiments and compared with different-level policies. The results show that the proposed policy can significantly reduce the downtime and maintenance costs and improve the overall system reliability and availability.

对复杂系统中优化维护计划的组件状态的探索引起了研究人员的极大兴趣。然而，当前的文献通常忽视了系统灵活性和可重构性的关键方面。明智地实施系统重新配置可以有效减少系统停机时间并增强生产连续性。本研究提出了一种考虑可重构系统重构的动态基于条件的维护策略。为设备和系统构建了双层决策规则。为了达到系统整体最佳维护效果，利用各设备的剩余使用寿命概率分布和推荐维护时间来优化设备的并发维护时间窗口并决定是否重新配置。引入综合维护效率指标，同时考虑系统的维护成本率、可靠性和可用性来表征整体维护效果。重新配置成本包含在维护成本中。通过数值实验对所提出的政策进行了测试，并与不同级别的政策进行了比较。结果表明，所提出的策略可以显着减少停机时间和维护成本，提高系统整体可靠性和可用性。