The study of fault diagnosis model of DGA for oil-immersed transformer based on SVM active learning and K-L feature extracting

Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC

Volumn 3, Issue , 2008, Pages 1510-1514

  Sun, Xiao Yun ^a   Liu, Dong Hui ^a   Bian, Jian Peng ^a  

^a HEBEI UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Active learning; Fault diagnosis; K L feature extracting; Oil immersed transformer; SVM

Indexed keywords

CONTROL THEORY; CYBERNETICS; EDUCATION; FEATURE EXTRACTION; HIERARCHICAL SYSTEMS; LEARNING SYSTEMS; OIL FILLED TRANSFORMERS; ROBOT LEARNING; SUPPORT VECTOR MACHINES; THREE DIMENSIONAL;

ACTIVE LEARNING; FAULT DIAGNOSIS; K-L FEATURE EXTRACTING; OIL-IMMERSED TRANSFORMER; SVM;

LEARNING ALGORITHMS;

EID: 57749097905     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2008.4620645     Document Type: Conference Paper

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