Fault diagnosis model of power transformer based on an improved binary tree and the choice of the optimum parameters of multi-class SVM

Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009

Volumn 4, Issue , 2009, Pages 567-571

  Sun, Xiaoyun ^a   An, Guoqing ^a   Fu, Ping ^a   Bian, Jianpeng ^b  

^a HEBEI UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b CHONGQING UNIVERSITY   (China)

Author keywords

Fault diagnosis; Improved SVM binary tree; Two divided

Indexed keywords

BINARY TREE ALGORITHM; DATA SETS; DISSOLVED GAS ANALYSIS; FAULT DIAGNOSIS; FAULT DIAGNOSIS MODEL; FEATURE SPACE; MULTI-CLASS SUPPORT VECTOR MACHINES; MULTICLASS SVM; OIL IMMERSED TRANSFORMERS; OPTIMAL PARAMETER; OPTIMUM PARAMETERS; PRACTICAL PROBLEMS; SVM CLASSIFIERS;

BINARY TREES; DISSOLUTION; FAULT TREE ANALYSIS; INTELLIGENT COMPUTING; INTELLIGENT SYSTEMS; OIL FILLED TRANSFORMERS; POWER TRANSFORMERS; RELIABILITY; SUPPORT VECTOR MACHINES;

QUALITY ASSURANCE;

EID: 77949500878     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICISYS.2009.5357614     Document Type: Conference Paper

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