DocumentCode :
3148553
Title :
The research of the fault types recognition in transformer by differential protection based on LIBSVM
Author :
Wu, Hao ; Fu, ChengHua ; Guo, Hui ; Chen, Chang Zhong
Author_Institution :
Autom. & Electron. Inf. Eng., Sichuan Univ. of Sci. & Eng., Zigong, China
Volume :
7
fYear :
2010
fDate :
16-18 Oct. 2010
Firstpage :
2999
Lastpage :
3003
Abstract :
A new method to distinguish various fault types of transformer by differential protection based on LIBSVM is discussed. This paper uses PSCAD/EMTDC to build transformer and differential protection model which is applied to simulate various transformer fault types, the simulation data and characteristic value extracted are preprocessed; then fault identification model based on LIBSVM is established. This paper finds the optimal settings by different kernel functions and parameters through a lot of experiments. Experimental results show that LIBSVM can identify various fault types correctly, it verifies the accuracy of transformer fault types recognition by differential protection based on LIBSVM.
Keywords :
fault diagnosis; power engineering computing; power transformer protection; support vector machines; LIBSVM; PSCAD/EMTDC; differential protection; fault identification model; transformer fault type recognition; Accuracy; Fault diagnosis; Kernel; Low voltage; Support vector machines; Surges; Training; differential protection; fault diagnosis; magnetizing inrush current; support vector machine; transformer fault;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
Type :
conf
DOI :
10.1109/BMEI.2010.5639826
Filename :
5639826
Link To Document :
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