Research of Fault Diagnosis in Flight Control System Based on Fuzzy Neural Network

被引：8
|
作者：
Zhang, Peng [2 ]
Zhang, Rui [1 ]
Ran, Xiao-xiao [1 ,2 ]
机构：
[1] Civil Aviat Univ China, Aeronaut Automat Coll, Tianjin 300300, Peoples R China
[2] Civil Aviat Univ China, Engn Tech Training Ctr, Tianjin 300300, Peoples R China
来源：
CEIS 2011 | 2011年 / 15卷
关键词：
FNN; flight control system; fault diagnosis; BP algorithm;
D O I：
10.1016/j.proeng.2011.08.015
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Based on fuzzy mathematics and the neural network method, with the combination of fault datas of B737NG aircraft flight control system and experts experiences, this paper built a fuzzy neural network (FNN) fault diagnosis model which can intuitively express the relevance of fault symptoms and fault reasons. By Simulation and analysis, the fault diagnosis accuracy of FNN is much higher than only BP neural network, The research makes fault positioning more accurate and valid, improves the efficiency of maintenance, as well as ensures flight safety and provides a new point of view for establishing the aviation maintenance auxiliary decision system. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]
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页数：5
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