Fault Diagnosis of Functional Circuit in Avionics System Based on BPNN

Avionics system is one of the key systems involved in the safe operation of aircraft. Improving the fault diagnosis and testing capability of Avionics system is of great significance to the safe operation of aircraft. In this paper, fault simulation of avionics system is carried out by means of fault injection. We select the general processing module P2020 board of the avionics system, analyze and extract the sensitive parameters of the general processing module, extract the fault sensitive features and use BP neural network to data mining, to realize the fault diagnosis of the functional circuit level of the avionics system. The experimental results show that the fault diagnosis accuracy of this method is over 99% for the functional circuit level of avionics system. The research results of this paper have certain engineering application value for fault diagnosis of avionics system.