Application of bayesian network based on fault tree in fault diagnosis of Radio Altimeter System

Abstract The radio altimeter system is an important part of the aircraft navigation system, failure will directly affect flight safety. Therefore, to ensure safe aircraft, a fault diagnosis method based on trees and Bayesian networks was proposed in this paper. Firstly, starting from composition working principle, taking typical ‘loss altitude displays’ as example, were set up comprehensively analyze cause fault. On basis, built-in tree models used build network model, determine maximum possible paths key nodes through reverse reasoning achieve positioning. outcomes demonstrate excellent accuracy dependability method.