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Chapter 39 Avionics System Fault Diagnosis Methods Based on the Probabilistic Causal Network

机译:第39章航空电子系统故障诊断方法基于概率因果网

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摘要

This paper applies the parsimonious covering theory and the causal network model to the multiple-fault diagnosis of an avionic system. Firstly, the paper introduces the meaning of the avionics system fault diagnosis and the basic content of the fault diagnosis; Next, it briefly introduces the basic theory of the parsimonious covering theory and the causal network model, summarizes the methods of the multiple-fault diagnosis research, and puts forward the causal strength calculation method depending on the fuzzy algorithm of multiple attribution judgment. Finally, based on the causal network structure method of the fault tree, it gives the corresponding structure rules and specific examples, and the difficulty of multiple-fault diagnosis modeling in avionic system is successfully solved. The validities of the methods presented in the thesis are verified by the application of the algorithms in the multiple-fault and correlative fault diagnosis of an avionic system.
机译:本文适用于分析覆盖理论和因果网络模型对航空系统的多故障诊断。首先,本文介绍了航空电子系统故障诊断的含义和故障诊断的基本内容;接下来,简要介绍了解析覆盖理论的基本理论和因果网络模型,总结了多故障诊断研究的方法,并提出了因果强度计算方法,具体取决于多重归因判断的模糊算法。最后,基于故障树的因果网络结构方法,它给出了相应的结构规则和具体示例,并且成功解决了航空系统中的多故障诊断建模的难度。本文介绍的方法的有效性通过在航空系统的多故障和相关故障诊断中应用算法来验证。

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