A new dynamic fault tree analysis method based on discrete-time Bayesian networks is proposed.
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。
Due to the difficulty of multi-state fault tree analysis, a new method based on Bayesian networks is proposed by means of an example of multi-state radar system.
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。
Under the law of maximum shoddy probability, it will have more practical significance for the probabilistic analysis of degree of compaction to use decision analysis and Bayesian method.
在最大次品率准则下，应用了决策分析和贝叶斯方法，从而使本文的分析研究更具实际意义。
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