Improved SVM and ANN in incipient fault diagnosis of power transformers using clonal selection algorithms

International Journal of Innovative Computing, Information and Control

Volumn 5, Issue 7, 2009, Pages 1959-1974

  Wu, Horng Yuan ^a   Hsu, Chin Yuan ^a   Lee, Tsair Fwu ^a,b   Fang, Fu Min ^b  

^a NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

^b CHANG GUNG UNIVERSITY COLLEGE OF MEDICINE   (Taiwan)

Author keywords

Clonal selection algorithm; Diagnosis; Incipient fault; Power transformer; SVM

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CLONAL SELECTION ALGORITHM; CLONAL SELECTION ALGORITHMS; COMPUTATIONAL TOOLS; FAULT DIAGNOSIS; HIGH DIMENSIONALITY; INCIPIENT FAULT; INCIPIENT FAULT DIAGNOSIS; INCIPIENT FAULTS; KERNEL PARAMETER; MACHINE-LEARNING; NON-LINEARITY; RADIAL BASIS FUNCTIONS; STATISTICAL LEARNING THEORY; SVM;

BACKPROPAGATION; ELECTRIC INSTRUMENT TRANSFORMERS; EVOLUTIONARY ALGORITHMS; FAILURE ANALYSIS; IMAGE CLASSIFICATION; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES; TRANSFORMER SUBSTATIONS;

POWER TRANSFORMERS;

EID: 67749135362     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

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