Application of Wavelet Neural Network to Fault Diagnosis of Power System

DOI

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.

Copyright

© 2015, 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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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  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 998
EP  - 1003
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.409
DO  - 10.2991/amcce-15.2015.409
ID  - Hu2015/04
ER  -