An accurate fault locator for cable transmission using ANN

被引:4
作者
Khorashadi-Zadeh, H [1 ]
Hosseini-Naveh, S [1 ]
机构
[1] Univ Birjand, Dept Elect Engn, Birjand, Iran
来源
MELECON 2004: PROCEEDINGS OF THE 12TH IEEE MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, VOLS 1-3 | 2004年
关键词
fault location; transmission cable; artificial neural network;
D O I
10.1109/MELCON.2004.1348101
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 [计算机科学与技术];
摘要
This paper presents a new neural network-based transmission cable fault locator module. Different faults on a protected cable should be located correctly. The proposed module uses samples of voltage and current signals to learn the hidden relationship existing in the input patterns. The scheme is insensitive to fault type, fault resistance, fault inception angle and system source configuration. Details of the design procedure and the results of performance studies with the proposed Fault locator are given in the paper. Performance studies results show that the proposed algorithm is accurate.
引用
收藏
页码:901 / 904
页数:4
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