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.
为了解决动态故障树研究领域的马尔可夫链状态空间爆炸问题，给出了一个基于同构节点的动态故障树分析方法。
In order to solve the problem of state space explosion of Markov chains in the research field of dynamic fault tree, a new method based on isomorphic node is presented.
研究了动态故障树分析的蒙特卡洛仿真法并给出了仿真的具体步骤，然后利用实例对给定的动态故障树进行了蒙特卡洛仿真，并把仿真结果与精确解进行了比较。
Research Monte Carlo method of dynamic FTA, and given detailed steps, then progress Monte Carlo simulation using example to dynamic fault tree, and compare simulation result with exact solution.
研究了动态故障树分析的蒙特卡洛仿真法并给出了仿真的具体步骤，然后利用实例对给定的动态故障树进行了蒙特卡洛仿真，并把仿真结果与精确解进行了比较。
Research Monte Carlo method of dynamic FTA, and given detailed steps, then progress Monte Carlo simulation using example to dynamic fault tree, and compare simulation result with exact solution.
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