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/).
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 -