Adaptive sequential predictive maintenance policy with nonperiodic inspection for hard failures
Adaptive sequential predictive maintenance policy with nonperiodic inspection for hard failures
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DOI：
10.1002/qre.2788
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发表时间：
2020-10
影响因子：
2.3
通讯作者：
Lang Wu;Qiang Zhou
中科院分区：
文献类型：
--
作者：
Lang Wu;Qiang Zhou
针对退化系统的硬故障，提出了一种新的自适应维护策略。与传统的基于状态的维修策略相比，该策略基于模型预测结果自适应地进行维修决策。根据新检查的数据，预测模型不断更新。基于对系统可靠性的最新预测，巡检时间和预防性维护活动按顺序在线安排。提出了一种计算效率高的优化方案，以获得最优维修参数。通过大量的仿真对所提出的策略进行了验证和性能评估。
This paper proposes a novel adaptive maintenance policy for degrading systems subject to hard failure. Compared with traditional condition‐based maintenance policies, the proposed predictive maintenance policy makes maintenance decisions adaptively based on model prognostic results. The prognostic model is continuously updated based on newly inspected data. The inspection times and preventive maintenance activities are scheduled online in a sequential manner based on the most current prediction of system reliability. A computationally efficient optimization scheme is proposed for obtaining optimal maintenance parameters. The proposed policy is demonstrated and its performance is evaluated through extensive simulations.