DocumentCode
2669058
Title
Detection of small current grounding fault line based on wavelet transform and neural networks
Author
Zhigang, Zhang ; Aihua, Li ; Yanhong, Liu ; Guoying, Hu
Author_Institution
Sch. of Inf. Technol. & Photo-Electron., Yantai Univ., Yantai
fYear
2008
fDate
16-18 July 2008
Firstpage
790
Lastpage
794
Abstract
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.
Keywords
earthing; fault location; neural nets; power engineering computing; wavelet transforms; feature vector extraction; neural networks; small current grounding fault line detection; wavelet multiresolution analysis; wavelet transform; Data mining; Electronic mail; Fault detection; Feature extraction; Grounding; Information technology; Neural networks; Steady-state; Wavelet analysis; Wavelet transforms; Multi-resolution decomposition; Neural network; Small current grounding fault; Wavelet Transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location
Kunming
Print_ISBN
978-7-900719-70-6
Electronic_ISBN
978-7-900719-70-6
Type
conf
DOI
10.1109/CHICC.2008.4605680
Filename
4605680
Link To Document