Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

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

Authors
Xiaoyu Zhang, Guifang Cai
Corresponding Author
Xiaoyu Zhang
Available Online April 2015.
DOI
https://doi.org/10.2991/amcce-15.2015.412How to use a DOI?
Keywords
wavelet neural network; fault diagnosis system; air to ground missile
Abstract
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.
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Proceedings
2015 International Conference on Automation, Mechanical Control and Computational Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-64-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/amcce-15.2015.412How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiaoyu Zhang
AU  - Guifang Cai
PY  - 2015/04
DA  - 2015/04
TI  - Research on Faults Diagnosis System of an Air to Ground Missile Based on Wavelet Neural Network
BT  - 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 963
EP  - 968
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.412
DO  - https://doi.org/10.2991/amcce-15.2015.412
ID  - Zhang2015/04
ER  -