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 :
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