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Optimal Maintenance Decision Based on Remaining Useful Lifetime Prediction for the Equipment Subject to Imperfect Maintenance

机译：基于剩余有用的寿命预测的最佳维护决策，该设备受到不完美维护的影响

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摘要

Focusing on the fact that the existing research on optimal maintenance decision for remaining useful lifetime (RUL) prediction and imperfect maintenance has low accuracy of RUL prediction and rationality of decision results, an optimal maintenance decision method based on RUL prediction for the equipment subject to imperfect maintenance is proposed in this paper. Firstly, the nonlinear Wiener process is used to characterize the degradation law of the equipment. Secondly, the imperfect maintenance model that meets the upper limit of the maintenance number is established based on the nonhomogeneous Poisson process. Then, based on the concept of the first hitting time, the probability density function (PDF) of the RUL is derived. Finally, based on the RUL prediction results, the optimal maintenance decision model for the equipment subject imperfect maintenance is constructed. Through the example verification and cost parameter sensitivity analysis, the proposed method can effectively improve the accuracy of the RUL prediction and the scientific of maintenance decision results, which has engineering application value.
机译：专注于对剩余有用的寿命（RUL）预测和不完美维护的最佳维护决定的现有研究具有低准确性的ruL预测和决策结果的合理性，这是基于rul预测的最佳维护决策方法，这些方法受到不完美的设备本文提出了维护。首先，非线性维纳工艺用于表征设备的劣化规律。其次，基于非均匀泊松过程建立了满足维护号上限的不完美维护模型。然后，基于第一次击中时间的概念，衍生RUL的概率密度函数（PDF）。最后，基于RUL预测结果，构建了设备对象的最佳维护决策模型。通过示例验证和成本参数灵敏度分析，所提出的方法可以有效地提高RUL预测的准确性和科学的维护决策结果，具有工程应用价值。

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