Dissolved Gases in Oil Diagnosis Based on Support Vector Machine

DOI

10.2991/emeit.2012.446How to use a DOI?

Keywords

SVM , transformer , DGA , fault

Abstract

A kind of analysis method in which SVM is used for power transformer DGA is proposed in this paper. This method uses the SVM algorithm to classify the composition of DGA in transformer and diagnoses the fault of the transformer. At the same time, it introduces the fuzzy membership function, and it can eliminate unable diagnosis area when the discrete decision function is used. Then by using a example to test this method, it shows the SVM play excellent performance in the fault diagnosis of power transformer.

Copyright

© 2012, 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  - Guoxia Sun
AU  - Haijiang Wu
AU  - Guojun Chen
AU  - Cuntao Ma
PY  - 2012/09
DA  - 2012/09
TI  - Dissolved Gases in Oil Diagnosis Based on Support Vector Machine
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 2011
EP  - 2015
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.446
DO  - 10.2991/emeit.2012.446
ID  - Sun2012/09
ER  -