@inproceedings{5a9a8581ee03436d8759d0bed2471990,
title = "Detection of small current grounding fault line based on wavelet and neural networks",
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 = "Multi-resolution decomposition, Neural network, Power system, Small current grounding fault, Wavelet transform",
author = "Zhigang Zhang and Aihua Li and Yanhong Liu and Yi Shen",
year = "2008",
doi = "10.1109/WCICA.2008.4593784",
language = "英语",
isbn = "9781424421145",
series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5258--5262",
booktitle = "Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08",
address = "美国",
note = "7th World Congress on Intelligent Control and Automation, WCICA'08 ; Conference date: 25-06-2008 Through 27-06-2008",
}