Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics

Research on Substation Overheating Fault On-line Monitoring Based on Support Vector Machine

Authors
Min Xu, Luona Hu, Jizhe Wang
Corresponding Author
Min Xu
Available Online June 2015.
DOI
https://doi.org/10.2991/icecee-15.2015.302How to use a DOI?
Keywords
Substation; overheating fault; On-line monitoring; Support Vector Classification
Abstract
As an important part of power transition, the safe operation of substation is of great significance. In this paper, according to the characteristics of the substation equipment overheating fault and the theory of mathematical model of support vector classifier, equipment overheating fault diagnosis mechanism is established. By using inner product kernel function, the method realizes nonlinear mapping to high dimension space. The algorithm completes feature space division through the optimal hyper plane. The method is not only simple, but also has well "robust". Take substation in power plant as example, we verified the powerful function of support vector classifier and it can complete the fault diagnosis of excellent. The algorithm can completely satisfy the requirement of the traction substation equipment overheating fault on-line monitoring.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-81-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/icecee-15.2015.302How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Min Xu
AU  - Luona Hu
AU  - Jizhe Wang
PY  - 2015/06
DA  - 2015/06
TI  - Research on Substation Overheating Fault On-line Monitoring Based on Support Vector Machine
PB  - Atlantis Press
SP  - 1610
EP  - 1613
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.302
DO  - https://doi.org/10.2991/icecee-15.2015.302
ID  - Xu2015/06
ER  -