Grounding Fault Line Selection by EMD and LSSVM

DOI

10.2991/emim-15.2015.205How to use a DOI?

Keywords

Empirical Mode Decomposition (EMD); Information gain degree; Simplex Method (SM) least squares support vector machine (LSSVM); Fault line selection; Ground fault

Abstract

According to the characteristics of transient zero sequence components as well as the existing information fusion technology has the disadvantage of high sample dimension and computer overhead in fault line selection in small current grounding fault . First of all, by using the empirical mode decomposition (EMD) and the Fast Fu Liye transform (FFT) on the zero sequence signal fault feature extraction. And then through the information gain degree to calculate the weight of the line selection method. The sample data of each method separately using the simplex method (SM) to optimize the parameters of least squares support vector machine (LSSVM) integrated line selection, weight and the line fault value. Through the system simulation, the results show that the proposed method has very high accuracy and sensitivity ,which is applied to the fault line.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tianyi Qu
AU  - Xiaofang Cao
PY  - 2015/04
DA  - 2015/04
TI  - Grounding Fault Line Selection by EMD and LSSVM
BT  - Proceedings of the 2015 International Conference on Education, Management, Information and Medicine
PB  - Atlantis Press
SP  - 1044
EP  - 1048
SN  - 2352-5428
UR  - https://doi.org/10.2991/emim-15.2015.205
DO  - 10.2991/emim-15.2015.205
ID  - Qu2015/04
ER  -