Arcing fault detection using artificial neural networks

被引：9

作者：

Sidhu, TS ^{[1
]}

Singh, G ^{[1
]}

Sachdev, MS ^{[1
]}

机构：

[1] Univ Saskatchewan, Dept Elect Engn, Power Syst Res Grp, Saskatoon, SK S7N 5A9, Canada

来源：

NEUROCOMPUTING | 1998年 / 23卷 / 1-3期

关键词：

power system protection; arcing faults; electric arc; artificial neural networks;

D O I：

10.1016/S0925-2312(98)00067-8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A technique that detects the presence of arcing faults is presented in this paper. The proposed technique analyzes the radiation produced due to arcing faults. Acoustic, infra-red and radio waves are recorded using appropriate sensors and a DSP-based data acquisition system. The recorded signals are then classified using artificial neural networks. The sensors, data acquisition system and design of the artificial neural networks are described in the paper. The technique was implemented and tested in the laboratory. Some test results are also included in the paper. (C) 1998 Elsevier Science B.V. All rights reserved.

引用

页码：225 / 241

页数：17

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