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

Application of Wavelet Neural Network to Fault Diagnosis of Power System

Authors
Jian Hu, Fanjun Hu
Corresponding Author
Jian Hu
Available Online April 2015.
DOI
https://doi.org/10.2991/amcce-15.2015.409How to use a DOI?
Keywords
application; neural network; fault diagnosis; power system
Abstract
Based on analyzing the incompleteness and uncertainty of information existing in power system fault diagnosis, 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 feature vectors. The neural network is used to identify fault types. Diagnostic results of instance proved the effectiveness and superiority of the proposed method.
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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-15.2015.409How 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  - Jian Hu
AU  - Fanjun Hu
PY  - 2015/04
DA  - 2015/04
TI  - Application of Wavelet Neural Network to Fault Diagnosis of Power System
BT  - 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.409
DO  - https://doi.org/10.2991/amcce-15.2015.409
ID  - Hu2015/04
ER  -