Neural network approach to power transmission line fault classification

被引：0
|
作者：
Wang, XR [1 ]
Wu, ST [1 ]
Qian, QQ [1 ]
机构：
[1] SW Jiao Tong Univ, Sch Elect Engn, Chengdu 610031, Sichuan, Peoples R China
来源：
ICICS - PROCEEDINGS OF 1997 INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATIONS AND SIGNAL PROCESSING, VOLS 1-3: THEME: TRENDS IN INFORMATION SYSTEMS ENGINEERING AND WIRELESS MULTIMEDIA COMMUNICATIONS | 1997年
关键词：
D O I：
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中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a new solution to fault classification of high voltage transmission line and shows its effectiveness in digital simulation on a realistic 500 kv power system. The scheme is based on BP and Kohonen neural networks and a comparison between them is made. The Electromagnetic Transient Program (EMTP) is used to obtain fault patterns for the training and testing of neural networks. Mainly, feature selection and extraction, signal procession is studied and a fast, reliable fault classifier is obtained.
引用
收藏
页码：1737 / 1740
页数：4
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