Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)

Wavelet Transformation Application on Accommodation Equipments' Fault Diagnosis

Authors
Baoji YUAN, Yanfeng WU, Weining LI
Corresponding Author
Baoji YUAN
Available Online July 2017.
DOI
10.2991/eia-17.2017.63How to use a DOI?
Keywords
fault diagnosis; wavelet analysis; equipment abnormal observation; collective control system
Abstract

The submarine aircraft has several accommodation electrical equipments that have varieties of failure modes. The centralized control system includes accommodation electric network equipments' fault diagnosis and exception handling, so it is very important. With accommodation electric network scale expanding, the traditional fault processing way based on artificial experiences is kittle. Advanced fault identification and processing methods have been proposed to realize on-line fault processing with more fault data. The wavelet analysis is conductive to raise the fault processing working and shorten the deal time.

Copyright
© 2017, 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 International Conference on Electronic Industry and Automation (EIA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
July 2017
ISBN
10.2991/eia-17.2017.63
ISSN
1951-6851
DOI
10.2991/eia-17.2017.63How to use a DOI?
Copyright
© 2017, 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

TY  - CONF
AU  - Baoji YUAN
AU  - Yanfeng WU
AU  - Weining LI
PY  - 2017/07
DA  - 2017/07
TI  - Wavelet Transformation Application on Accommodation Equipments' Fault Diagnosis
BT  - Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)
PB  - Atlantis Press
SP  - 290
EP  - 293
SN  - 1951-6851
UR  - https://doi.org/10.2991/eia-17.2017.63
DO  - 10.2991/eia-17.2017.63
ID  - YUAN2017/07
ER  -