Research on Substation Overheating Fault On-line Monitoring Based on Support Vector Machine
Min Xu, Luona Hu, Jizhe Wang
Available Online June 2015.
- https://doi.org/10.2991/icecee-15.2015.302How to use a DOI?
- Substation; overheating fault; On-line monitoring; Support Vector Classification
- 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.
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 -