Abstract This paper proposes a condition-based midterm maintenance scheduling with rescheduling strategy. Different from existing methods, the prescheduled maintenance tasks in the proposed method can be rescheduled according to the updated information received from asset condition monitors. To realize the rescheduling strategy, a new decision variable called time-varying maintenance threshold is introduced in the optimization model. When the state measurement of a device is identified to reach the time-varying maintenance threshold, the prescheduled maintenance task should be executed ahead of time to prevent failures. In the proposed method: (1) a stochastic degradation process considering the prescheduled maintenance tasks and the rescheduling strategy is expressed; (2) an optimization model is formulated to minimize the sum of the individual operating risk and the system operating risk through co-optimizing prescheduled maintenance tasks and time-varying maintenance thresholds; (3) a decomposition algorithm is designed to solve the optimization model. Case studies are presented to demonstrate the validity and significant operating risk reduction of the proposed method.

中文翻译：

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基于状态的中期维护调度与重新调度策略

摘要 本文提出了一种基于状态的带有重新调度策略的中期维修调度方法。与现有方法不同，所提出的方法中预先安排的维护任务可以根据从资产状况监视器接收到的更新信息重新安排。为了实现重新调度策略，优化模型中引入了一个新的决策变量，称为时变维护阈值。当识别出设备的状态测量达到时变维护阈值时，应提前执行预定的维护任务以防止故障。在所提出的方法中：（1）考虑了预先调度的维护任务和重新调度策略的随机退化过程被表达；(2) 制定优化模型，通过对预定维修任务和时变维修阈值的协同优化，使个体操作风险与系统操作风险之和最小化；(3)设计了分解算法来求解优化模型。案例研究展示了所提出的方法的有效性和显着的操作风险降低。