Diagnosis of transformer dissolved gas analysis based on multi-class SVM

2009 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009

Volumn 4, Issue , 2009, Pages 463-466

  Zhang, Zhe ^a   Zhu, Yong Li ^a   Wu, Zhong Li ^a   Han, Kai ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Cross validation; Dissolved gas analysis(DGA); Support vector machine(SVM); Transformer

Indexed keywords

ACCURACY RATE; CROSS VALIDATION; DISSOLVED GAS ANALYSIS; EFFECTIVE TOOL; FAULT DATA; GENERALIZATION ABILITY; GRID-SEARCH METHOD; MACHINE-LEARNING; MODEL PARAMETERS; MULTI-CLASS CLASSIFICATION; MULTICLASS SVM; NORMAL STATE; STATISTICAL LEARNING THEORY;

ARTIFICIAL INTELLIGENCE; DISSOLUTION; GAS CHROMATOGRAPHY;

SUPPORT VECTOR MACHINES;

EID: 77949278747     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AICI.2009.108     Document Type: Conference Paper

References (7)

1. Zhang,Y.,Liu,Y."An artificial neural network approach to transformer fault diagnosis". IEEE Transctions on Power Delivery.11(1996)1836-1841, C.D. Jones, and E.F. Roberts, "Article Title", Journal, Publisher, Location, Date, pp. 1-10.
2. Sun,X.,Guo,J., "Study on Fault Diagnose Method of Transformer DGA with Fuzzy Model Hiberarchy Classification". Chin. Soc. For Elec.Eng.21(2001)37-41
3. Wang,J.Y.,Ji,Y.C: "Application of fuzzy Petri nets knowledge representation in electric power transformer fault diagnosis". Proceedings of the CSEE.23(2003)121-125
4. Shang,Y.,Yan, J., "Synthetic Insulation Fault Diagnose Model of Oil-immersed Power Transformers Utilizing Information Fusion". Chin.Soc.for Elec.Eng.22 (2002)115-118
5. Vapnik V N. The Nature of Statistical Learning Theory [M].New York: Spring-Verlag.1995
6. Chin-Wei Hsu, Chih-Jen Lin. "A Comparison of Methods for Multiclass Support Vector Machines" [J].IEEE Transactions on Neural Networks,2002.13(2):425-425
7. Kaibo Duan,Keerthi S S. "Which is the Best Multi-class SVM method?" An Empirical Study[A].Multiple Classifier Systems,6th International Workshop, Seaside,CA,USA:MCS 2005