A novel approach based on multi-class support vector machine of immune optimization for transformer fault diagnosis

Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control

Volumn 40, Issue 2, 2012, Pages 106-110

  Han, Fu Chun ^a   Gao, Wen Jun ^a   Lian, Jian Xin ^a   Yang, Jie ^b  

^a TAIYUAN UNIVERSITY OF TECHNOLOGY   (China)

^b Shanxi Datong Xinrong Power Supply Branch   (China)

Author keywords

Fault diagnosis; Immune algorithm; Support vector machine; Transformer

Indexed keywords

ALGORITHM MODEL; CLASSIFICATION ACCURACY; CLASSIFICATION ALGORITHM; FAULT TYPES; FINITE SAMPLES; HIGH-DIMENSIONAL FEATURE SPACE; IMMUNE ALGORITHM; IMMUNE OPTIMIZATION; MINIMUM DISTANCE; MULTI-CLASS; MULTI-CLASS CLASSIFICATION; MULTI-CLASS SUPPORT VECTOR MACHINES; PARAMETER SELECTION; PARAMETER SETTING; SUPPORT VECTOR; TRANSFORMER; TRANSFORMER FAULT DIAGNOSIS; TRANSFORMER FAULTS;

ALGORITHMS; FAILURE ANALYSIS; OPTIMIZATION; SAMPLING;

SUPPORT VECTOR MACHINES;

EID: 84863274689     PISSN: 16743415     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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