Fault diagnosis based on integrated mlulti-neural network

被引：0

作者：

Zhao, DW ^{[1
]}

Chen, GJ ^{[1
]}

Pei, TG ^{[1
]}

Xu, HL ^{[1
]}

机构：

[1] Hi Tech, Xian Res Inst, Xian, Peoples R China

来源：

ICEMI'2003: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOLS 1-3 | 2003年

关键词：

neural; network; diagnosis;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Based on task decomposition principle, multi fault diagnosis is decomposed to multiple single fault diagnosis tasks. One Single Sub-NN is utilized to solve one single-diagnosis problem. All the Single Sub-NNs are combined organically. Two integrated multi-neural network schemes are proposed in the paper. A unitized fault location algorithm is given. The scheme is utilized to diagnose the missile inertial system's servo-stable loop fault and the result shows that the scheme is effective.

引用

页码：883 / 887

页数：5