Avionics System Fault Diagnosis Methods Based on the Probabilistic Causal Network

Abstract

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.