A method for fault classification in transmission lines based on ANN and wavelet coefficients energy

被引：0
|
作者：
Costa, F. B. [1 ]
Silva, K. M. [1 ]
Souza, B. A. [1 ]
Dantas, K. M. C. [1 ]
Brito, N. S. D. [1 ]
机构：
[1] Univ Fed Campina Grande, Dept Elect Engn, 882 Aprigio Veloso Av, BR-58109970 Campina Grande, PB, Brazil
来源：
2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10 | 2006年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes a novel method for transmission lines fault classification using oscillographic data. The scheme is based on the analysis of the current wavelet coefficients energy using an artificial neural network. In order to validate the proposed approach, both simulated and actual oscillographic data were used.
引用
收藏
页码：3700 / +
页数：2
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