Fuzzy artmap neural network and its application to fault diagnosis of navigation systems

被引：14

作者：

Zhang, HY ^{[1
]}

Chan, CW

Cheung, KC

Ye, YJ

机构：

[1] Beijing Univ Aeronaut & Astronaut, Dept Automat Control, Beijing 100083, Peoples R China

[2] Univ Hong Kong, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R China

来源：

AUTOMATICA | 2001年 / 37卷 / 07期

基金：

中国国家自然科学基金;

关键词：

fault diagnosis; navigation systems; fuzzy neural networks; hypotheses test; pattern identification;

D O I：

10.1016/S0005-1098(01)00058-9

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a new approach that combines Chi-Square Test and Fuzzy ARTMAP (FAM) neural network mapping is proposed to Fault Diagnosis of Integrated Navigation Systems. Stale Chi-Square Test on whole state vector and individual state is performed to detect faults. Then, the pattern of State Chi-Square Test result is used to isolate and identify faults by using two separated FAM networks respectively. The fault magnitude and fault occurring time can be identified by the second FAM. (C) 2001 Elsevier Science Ltd. All rights reserved.

引用

页码：1065 / 1070

页数：6

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