模糊集与故障树复合分析法研究及其在飞行器模拟训练系统中的应用
Fuzzy Sets and Research of the Hybrid Fault Tree Analysis and the Application in the Aerocraft Simulate Training System
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摘要: 在传统的故障树分析中,类似人为错误的模糊、不精确事件不能得到有效地处理。为了克服这一不足,本文运用模糊集评价和概率估计提出了一种故障复合分析方法来评价非常事件。将此方法运用到飞行器模拟训练系统中可有效地对该系统进行故障分析。Abstract: In conventional fault tree analysis(FTA),the ambiguous and imprecise events such as human errors can not be handled effectively.To overcome this disadvantage,a hybrid approach employing fuzzjy set evaluation and probabilistic estimation for FTA is proposed to evaluate abnormal events.By using the method,it can effectively analyse the aerocraft Simulate Training System's failure.
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