@inproceedings{cb33cc73c4e24cd293d09dff00914dc5,
title = "An improved Bayesian optimization algorithm for fault identification on flight control system",
abstract = "Fault identification method provides a great enhancement by using evolutionary algorithms in complex mechatronics systems. A Mutation-based Bayesian Optimization Algorithm is presented to improve the efficiency of Bayesian Optimization Algorithm (BOA). The mutation operator which makes full use of local information is combined into BOA by diversity function. The original objective is to combine the global information and local information in order to avoid local optimum. According to the fault analysis of aircraft actuation systems, the program of BOA for fault identification is introduced. The scheme is illustrated through simulations applying the flight control system of a fighter. The simulation result show fault identification is achieved.",
keywords = "Actuation systems, Bayesian optimization algorithm, Fault identification, Flight control system",
author = "Xiaoxiong Liu and Jingping Shi and Weiguo Zhang and Yan Wu",
year = "2008",
doi = "10.1109/AIM.2008.4601767",
language = "英语",
isbn = "9781424424955",
series = "IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM",
pages = "825--828",
booktitle = "Proceedings of the 2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2008",
note = "2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2008 ; Conference date: 02-08-2008 Through 05-08-2008",
}