Detection of Small Current Grounding Fault line Based on Wavelet Transform and Neural Networks

被引：0

作者：

Zhang Zhigang ^{[1
]}

Li Aihua ^{[1
]}

Liu Yanhong ^{[1
]}

Hu Guoying ^{[1
]}

机构：

[1] Yantai Univ, Sch Informat Technol & Photoelect, Yantai 264005, Peoples R China

来源：

PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 5 | 2008年

关键词：

Wavelet Transform; Multi-resolution decomposition; Neural network; Small current grounding fault;

D O I：

10.1109/CHICC.2008.4605680

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The detection of small current grounding fault line based on Wavelet transform technique and the neural network technique was presented. According of the distribution of energy of each line in the system of grounding, the extraction of feature vectors by use of wavelet multi-resolution analysis and the decision of fault line based on neural networks are described. This strategy overcome the defects of conventional identify method, because of both information of transient state and steady state was used. The experimental result has shown that the implementation based on wavelet and neural network to detect the small current grounding fault line was available.

引用

页码：790 / 794

页数：5