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The Dynamic Fault Tree Analysis Method Based on Fuzzy MarkovProcess and Its Application

机译:基于模糊马尔可夫过程的动态故障树分析方法及其应用

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Traditional fault tree analysis is an effective method to analyze system reliability that isrnbased on static logic, and the system which considering the influence in combination of fuzzyrnuncertainty and dynamic failure characters is still difficult to estimate precisely. The fuzzy numberrntheory can fully consider the fuzzy uncertainty of system which use various aspects information, andrnMarkov process can describe the dynamic failure characteristics of the system through the change ofrnstate space, then the fuzzy number theory and Markov process is introduced into dynamic fault treernanalysis to overcome the disadvantage of traditional fault tree. The method was applied to dynamicrnfault tree research of an internal combustion engine to prove the validity.
机译:传统的故障树分析是一种有效的基于静态逻辑的系统可靠性分析方法,而将模糊不确定性与动态故障特征结合起来的系统仍然难以精确估计。模糊数论可以充分考虑利用各方面信息的系统的模糊不确定性,而马尔可夫过程可以通过状态空间的变化来描述系统的动态失效特征,然后将模糊数论和马尔可夫过程引入动态故障树分析中来克服传统故障树的缺点。将该方法应用于内燃机的动态故障树研究,证明了该方法的有效性。

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