NDLI: Fault Line Detection in Small Current Grounding Systems Based on RBF Network

Content Provider	IEEE Xplore Digital Library
Author	Yundong Song Shun Yuan Yanjie Wang Chunfang Zhao
Copyright Year	2007
Description	Author affiliation: Shenyang Univ. of Technol., Shenyang (Yundong Song; Shun Yuan; Yanjie Wang; Chunfang Zhao)
Abstract	It is a long-standing issue on fault line detection of single-phase grounding fault in the small current grounding systems. If only one fault line detection method is used, fault information will be analyzed partially, which is not enough for fault line detection; and there are different fit conditions for every method. So the single method can not ensure that the reliability of the fault line detection. In this paper, the effective domains of fault line detection through some methods were obtained by rough set theory, and the radial basis function (RBF) neural network was designed and trained, then the results of the methods based on RBF network were got. Fusing those detection results, a better fault line detection result was advanced. Simulation results by EMTP show that the fault line detection method is efficient with high value of studying and wide application future.
Starting Page	764
Ending Page	768
File Size	235272
Page Count	5
File Format	PDF
ISBN	9780769528755
DOI	10.1109/ICNC.2007.381
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Grounding Fault detection EMTP Neural networks Radial basis function networks Set theory Electrical fault detection Power system reliability Power system modeling Information analysis
Content Type	Text
Resource Type	Article

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