提出了一种基于离散时间贝叶斯网络的动态故障树分析方法。
A new dynamic fault tree analysis method based on discrete-time Bayesian networks is proposed.
动态故障树分析方法综合了故障树分析方法和马尔可夫模型两者的优点。
Dynamic fault tree combines the advantages of both fault tree and Markov model.
动态故障树分析方法综合了传统故障树分析方法和马尔可夫模型两者的优点。
Dynamic fault tree exploits the relative advantages of both fault tree and Markov model.
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