Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)

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The Application of Neural Network to Missile Fault Diagnosing System

Authors
Jian Hu
Corresponding Author
Jian Hu
Available Online January 2018.
DOI
10.2991/macmc-17.2018.90How to use a DOI?
Keywords
application; missile; fault diagnosing system; neural network
Abstract

Based on analyzing the incompleteness and uncertainty of information existing in missile fault diagnosing system, a new fault diagnosis method based on wavelet transform and neural network is proposed. The wavelet transform is used to pre-process data and extract fault feature vectors. The neural network is used to identify fault types. Diagnostic results of instance proved the effectiveness and superiority of the proposed method.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
Series
Advances in Engineering Research
Publication Date
January 2018
ISBN
978-94-6252-439-2
ISSN
2352-5401
DOI
10.2991/macmc-17.2018.90How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Jian Hu
PY  - 2018/01
DA  - 2018/01
TI  - The Application of Neural Network to Missile Fault Diagnosing System
BT  - Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
PB  - Atlantis Press
SP  - 484
EP  - 489
SN  - 2352-5401
UR  - https://doi.org/10.2991/macmc-17.2018.90
DO  - 10.2991/macmc-17.2018.90
ID  - Hu2018/01
ER  -