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

机译:第39章基于概率因果网络的航空电子系统故障诊断方法

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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:本文将简约覆盖理论和因果网络模型应用于航空电子系统的多故障诊断。首先介绍了航空电子系统故障诊断的含义以及故障诊断的基本内容。接下来,简要介绍了简约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,并提出了基于多属性判断的模糊算法的因果强度计算方法。最后,基于故障树的因果网络结构方法,给出了相应的结构规则和具体实例,成功解决了航空电子系统中多故障诊断建模的难点。该算法在航空电子系统多故障及相关故障诊断中的应用验证了本文提出的方法的有效性。

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