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首页> 外文会议>World Multiconference on Systemics, Cybernetics and Informatics(SCI 2002) v.6: Industrial Systems and Engineering I; 20020714-20020718; Orlando,FL; US >A stochastic control model for on line condition based maintenance decision support
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A stochastic control model for on line condition based maintenance decision support

机译：基于在线状态的维修决策支持的随机控制模型

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摘要

This paper reports on a study of the application of a stochastic recursive control model to condition based maintenance. Condition based maintenance is a type of maintenance where appropriate maintenance decision is made according to the condition information collected at regular time points, as contrasted with time based maintenance where maintenance is carried out at a fixed interval regardless of plant condition. Two decisions are addressed: what action should be taken based on the measured condition information and what should be the optimal condition monitoring intervals. We established in this paper a stochastic recursive filtering model to predict the residual life of the item concerned conditional on the information available to date, and then a decision model to recommend the best course of actions in terms of a criterion of interest. The optimal condition monitoring intervals are determined by a hybrid of simulation and analytical analysis since no analytical solution is available. The model established is based on the assumptions that the item monitored follows a two-period failure process with the first period of a normal life and the second one of a potential failure (or abnormal state). The condition information obtained in the first period offers little use to us since it is generally white noise fluctuating about a mean value. It is the condition information collected in the second period the information we rely on to make prediction. A numerical example is presented to demonstrate the modelling ideas.
机译：本文报告了关于随机递归控制模型在基于状态的维护中的应用的研究。基于状态的维护是一种维护类型，其中根据定期在时间点收集的状态信息做出适当的维护决策，而与基于时间的维护相比，基于时基的维护则以固定的间隔执行维护，而不管工厂的状况如何。解决了两个决定：应根据所测得的状况信息采取何种措施，以及最佳状况监测间隔应为什么。我们在本文中建立了一个随机递归过滤模型，以根据迄今可用的信息来预测相关项目的剩余寿命，然后建立一个决策模型，以根据感兴趣的标准来推荐最佳操作方案。由于没有可用的分析解决方案，因此最佳状态监视间隔由模拟和分析分析的混合确定。建立的模型基于以下假设：所监视的项目遵循两个周期的故障过程，第一个周期为正常寿命，第二个周期为潜在故障（或异常状态）。在第一阶段获得的状态信息对我们几乎没有用，因为它通常是白噪声在平均值附近波动。它是第二阶段收集的条件信息，我们依靠这些信息来进行预测。数值例子说明了建模思想。

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