Large civil aircraft control surface failure occurred in flight will directly affect the handling and safety of the aircraft, so the flight control system needs to have an online surface fault diagnosis function. For large civil aircraft control surfaces and more features, this paper proposes online fault diagnosis algorithm control surfaces based on the use of least squares support vector machine (LS-SVM), using the Internet to search and cross-validation method to select SVM parameters identified online aircraft effectors fault parameters change, and to overcome the weak signal due to noise input to bring the problem of inaccurate identification. In this paper the application of the a large civil aircraft made publicly available flight data, the algorithm simulation results show that the method has strong generalization ability and higher recognition results.
Detection and diagnosis method study of the civil aircraft surface fault based on LS-SVM
2014-08-01
189117 byte
Conference paper
Electronic Resource
English
Distributed civil aircraft ground fault diagnosis method and platform
European Patent Office | 2021
|Fault diagnosis for civil aviation aircraft based on rough-neural network
British Library Online Contents | 2009
|A novel fault diagnosis method design and application for civil aircraft system
Tema Archive | 2009
|Research on Fault Diagnosis of Complex Avionics Systems in Civil Aircraft
Springer Verlag | 2023
|Fault tolerant control of large civil aircraft
SLUB | 2024
|