Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)

Fault Diagnosis for Power Transformer Based on SVM Information Fusion

Authors
Li-ping Sima, Xing-zhi Su, Bo Wang, Peng Dou, Gen-cai Liu
Corresponding Author
Li-ping Sima
Available Online September 2012.
DOI
10.2991/emeit.2012.447How to use a DOI?
Keywords
transformer,SVM,information fusion,fault diagnosis
Abstract

A kind of fault diagnosis method for power transformer based on multi-SVM information fusion is proposed in this paper. Based on the "one against one" multi-classification SVM and pairwise coupling method, the multi-classification SVM probability outputs are obtained and regarded as the basic probability function of information fusion to diagnose. It also makes full use of complementary information from gases dissolved in transformer oil analysis data and electrical test data. From the example analysis results, it shows better performance than a single feature SVM method in the aspect of accuracy and generalization.

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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Volume Title
Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
Series
Advances in Intelligent Systems Research
Publication Date
September 2012
ISBN
978-90-78677-60-4
ISSN
1951-6851
DOI
10.2991/emeit.2012.447How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Li-ping Sima
AU  - Xing-zhi Su
AU  - Bo Wang
AU  - Peng Dou
AU  - Gen-cai Liu
PY  - 2012/09
DA  - 2012/09
TI  - Fault Diagnosis for Power Transformer Based on SVM Information Fusion
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 2016
EP  - 2019
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.447
DO  - 10.2991/emeit.2012.447
ID  - Sima2012/09
ER  -