Fault Line Selection Method of Small Current to Ground System Based on Atomic Sparse Decomposition and Extreme Learning Machine
Joint Authors
Wei, Xiangxiang
Hou, Yaxiao
Wang, Xiaowei
Zeng, Zhihui
Gao, Jie
Wei, Yanfang
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-20
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
This paper proposed a fault line voting selection method based on atomic sparse decomposition (ASD) and extreme learning machine (ELM).
Firstly, it adopted ASD algorithm to decompose zero sequence current of every feeder line at first two cycles and selected the first four atoms to construct main component atom library, fundamental atom library, and transient characteristic atom libraries 1 and 2, respectively.
And it used information entropy theory to calculate the atom libraries; the measure values of information entropy are got.
It constructed four ELM networks to train and test atom sample and then obtained every network accuracy.
At last, it combined the ELM network output and confidence degree to vote and then compared the vote number to achieve fault line selection (FLS).
Simulation experiment illustrated that the method accuracy is 100%, it is not affected by fault distance and transition resistance, and it has strong ability of antinoise interference.
American Psychological Association (APA)
Wang, Xiaowei& Wei, Yanfang& Zeng, Zhihui& Hou, Yaxiao& Gao, Jie& Wei, Xiangxiang. 2015. Fault Line Selection Method of Small Current to Ground System Based on Atomic Sparse Decomposition and Extreme Learning Machine. Journal of Sensors،Vol. 2015, no. 2015, pp.1-19.
https://search.emarefa.net/detail/BIM-1070170
Modern Language Association (MLA)
Wang, Xiaowei…[et al.]. Fault Line Selection Method of Small Current to Ground System Based on Atomic Sparse Decomposition and Extreme Learning Machine. Journal of Sensors No. 2015 (2015), pp.1-19.
https://search.emarefa.net/detail/BIM-1070170
American Medical Association (AMA)
Wang, Xiaowei& Wei, Yanfang& Zeng, Zhihui& Hou, Yaxiao& Gao, Jie& Wei, Xiangxiang. Fault Line Selection Method of Small Current to Ground System Based on Atomic Sparse Decomposition and Extreme Learning Machine. Journal of Sensors. 2015. Vol. 2015, no. 2015, pp.1-19.
https://search.emarefa.net/detail/BIM-1070170
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1070170