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针对多态系统故障树分析的难点,通过一个多态雷达系统的实例给出了一种基于贝叶斯网络的多态故障树分析方法.首先根据多态故障树的结构建立贝叶斯网络的拓扑结构,然后根据多态逻辑算子对其进行定量化,进而利用贝叶斯网络分析多态故障树顶事件概率、部件重要度及其它结果.最后通过对实例的分析说明了基于贝叶斯网络的多态故障树分析方法有更强的建模分析能力.
Aiming at the difficulty of multi-state fault tree analysis, a multi-state fault tree analysis method based on Bayesian network is given through an example of a multi-state radar system.Firstly, based on the structure of multi-state fault tree, a Bayesian network Topology structure, and then quantify it according to the polymorphic logic operator, and then use Bayesian network to analyze the probability, component importance and other results of the multi-state fault tree.Through the example analysis, The network’s polymorphic fault tree analysis method has stronger modeling and analysis ability.