DocumentCode :
2491644
Title :
Detection of small current grounding fault line based on wavelet and neural networks
Author :
Zhang, Zhigang ; Li, Aihua ; Liu, Yanhong ; Shen, Yi
Author_Institution :
Sch. of Inf. Technol. & Photo-Electron., Univ. of Yantai, Yantai
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
5258
Lastpage :
5262
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 using wavelet multi-resolution analysis and the decision of fault line using neural networks are described. This strategy overcome the defects of conventional identify method, both information of transient state and steady state was used. The experimental result has shown the present method was available.
Keywords :
earthing; electrical faults; fault diagnosis; feature extraction; neural nets; power engineering computing; signal detection; wavelet transforms; feature vector extraction; grounding system; line energy distribution; neural networks; small current grounding fault line detection; steady state information; transient state information; wavelet multiresolution analysis; wavelet transform; Continuous wavelet transforms; Discrete wavelet transforms; Fault detection; Grounding; Multiresolution analysis; Neural networks; Power system transients; Wavelet analysis; Wavelet packets; Wavelet transforms; Multi-resolution decomposition; Neural network; Power system; Small current grounding fault; Wavelet Transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4593784
Filename :
4593784
Link To Document :
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