Availability modelling of repairable systems using Bayesian networks
Availability modelling of repairable systems using Bayesian networks
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DOI：
10.1016/j.engappai.2010.06.003
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发表时间：
2012-06
期刊：
影响因子：
--
通讯作者：
M. Neil;D. Marquez
中科院分区：
文献类型：
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作者：
M. Neil;D. Marquez
我们提出了一个混合贝叶斯网络（HBN）框架来模拟可再生能源系统的可用性。我们对hbn使用近似推理算法，该算法涉及对所有连续变量的域进行动态离散化，并使用该算法获得系统更新或修复时间分布的精确近似值。我们展示了如何使用hbn来建模纠正性维修时间、物流延迟时间和计划维护时间分布，并将这些与故障时间分布结合起来，以得出系统可用性。本文给出了示例模型，并详细描述了如何使用hbn对修复（更新）分布进行建模。
We present a hybrid Bayesian network (HBN) framework to model the availability of renewable systems. We use an approximate inference algorithm for HBNs that involves dynamically discretizing the domain of all continuous variables and use this to obtain accurate approximations for the renewal or repair time distributions for a system. We show how we can use HBNs to model corrective repair time, logistics delay times and scheduled maintenance time distributions and combine these with time-to-failure distributions to derive system availability. Example models are presented and are accompanied by detailed descriptions of how repair (renewal) distributions might be modelled using HBNs.