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A prognostics-based spare part ordering and system replacement policy for a deteriorating system subjected to a random lead time

机译:退化的系统在随机提前期的基础上,基于预测的备件订购和系统更换策略

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Prognostics-based spare part ordering and system replacement (PSOSR) policies are at the forefront of the prevalent prognostics and health management discipline. However, almost all of the existing researches in this domain ignore the stochasticity of the lead time. With this in mind, this paper proposes a PSOSR policy based on the real-time health condition of a deteriorating system subjected to a random lead time. In doing so, the degradation path of the interested system is modelled by a Wiener process, and the associated life distributions can be predicted recursively according to the real-time health condition of the system. In turn, the proposed policy can also be updated dynamically based on these real-time obtained life distributions. The policy, which - in addition to incorporating the stochasticity of the lead time - integrates the decision-making issues of both spare part ordering and system replacement - is finally applied to a case study of an inertial navigation system served in a type of aircraft. The experimental results validate the policy's effectiveness and superiority.
机译:基于预测的备件订购和系统更换(PSOSR)策略位于普遍的预测和健康管理学科的最前沿。但是,几乎所有在该领域的现有研究都忽略了交货时间的随机性。考虑到这一点,本文提出了一种基于变质系统的实时健康状况的PSOSR策略,该系统处于随机提前期下。通过这样做,感兴趣的系统的退化路径通过维纳过程进行建模,并且可以根据系统的实时健康状况来递归地预测相关的寿命分布。反过来,也可以基于这些实时获得的寿命分布动态地更新建议的策略。该政策除了兼顾了交货时间的随机性外,还整合了备件订购和系统更换的决策问题,最终被应用于一架飞机上惯性导航系统的案例研究中。实验结果验证了该政策的有效性和优越性。

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