Classification of Power System transients using wavelet transforms and Probabilistic Neural Networks

被引：0

作者：

Ramaswamy, S ^{[1
]}

Kiran, BV ^{[1
]}

Kashyap, KH ^{[1
]}

Shenoy, UJ ^{[1
]}

机构：

[1] Natl Inst Engn, Dept Elect Engn, Mysore 570008, Karnataka, India

来源：

IEEE TENCON 2003: CONFERENCE ON CONVERGENT TECHNOLOGIES FOR THE ASIA-PACIFIC REGION, VOLS 1-4 | 2003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：

Through this Paper, we propose a novel method of automation of Power System fault identification information, by the Wavelet analysis or Power System transients. We have incorporated a Probabilistic Neural Network (PNN) for detecting the type of fault. This paper is focused on fault identification but can also be easily extended to other Power System solutions such as fault location and so forth.

引用

页码：1272 / 1276

页数：5

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