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.

中文翻译：

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具有硬性故障的非定期检查的自适应顺序预测维护策略

本文提出了一种新的适应性维护策略，用于降级遭受硬故障的系统。与传统的基于状态的维护策略相比，所提出的预测性维护策略根据模型的预测结果自适应地做出维护决策。根据新检查的数据，持续更新预后模型。根据系统可靠性的最新预测，以顺序的方式在线安排检查时间和预防性维护活动。提出了一种计算有效的优化方案，以获取最佳的维护参数。该提议的策略得到了演示，并通过广泛的仿真对其性能进行了评估。