Research on Faults Diagnosis System of an Air to Ground Missile Based on Wavelet Neural Network

被引：0

作者：

Zhang, Xiaoyu ^{[1
]}

Cai, Guifang ^{[1
]}

机构：

[1] First Aeronaut Coll Air Force, Dept Aviat Ammunit Engn, Xinyang 464000, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL CONTROL AND COMPUTATIONAL ENGINEERING | 2015年 / 124卷

关键词：

wavelet neural network; fault diagnosis system; air to ground missile;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The ordinary missile auto-test system has such defects as faults orientation slow, high fault value, database modification hardly and so on. In order to overcome such defects, an faults diagnosis system based on wavelet neural network is designed. The correlative theories of wavelet are introduced, the wavelet neural network structure is analyzed, the network is trained and tested. The tested results illustrate that the system has such advantages as faster execution speed, exact faults orientation, it has widely application foreground.

引用

页码：2300 / 2305

页数：6

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