Application of Wavelet Neural Network to Fault Diagnosis of Power System
Jian Hu, Fanjun Hu
Available Online April 2015.
- https://doi.org/10.2991/amcce-15.2015.409How to use a DOI?
- application; neural network; fault diagnosis; power system
- 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.
- 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 -