The Combination of Discrete Wavelet Transform and Self Organizing Map for Identification of Fault Location on Transmission Line

被引：0
|
作者：
Pothisarn, C. [1 ]
Ngaopitakkul, A. [1 ]
机构：
[1] King Mongkuts Inst Technol Ladkrabang, Fac Engn, Dept Elect Engn, Bangkok 10520, Thailand
来源：
INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTIST, IMECS 2012, VOL II | 2012年
关键词：
Wavelet Transform; Fault Location; Transmission Line; Unsupervised network;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the literature for fault location, Artificial neural networks (ANNs) have been reported. At the present time, unsupervised learning is not well understood. This paper proposes a new algorithm for identifying fault location on transmission lines, using Discrete Wavelet Transform (DWT) and Self-organizing maps (SOMs). The mother wavelet daubechies4 (db4) is employed to decompose high frequency component from these signals. The coefficients of scalel obtained using the DWT are used for training and test processes of the SOMs. After the training process, case studies are varied. The result shows that the average accuracy obtained from combination of DWT and SOMs is satisfactory.
引用
收藏
页码：1083 / 1086
页数：4
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