Neural network ensemble method and its application in DGA fault diagnosis of power transformer on the basis of active diverse learning

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering

Volumn 30, Issue 22, 2010, Pages 64-70

  Zhang, Dong Bo ^a   Xu, Yu ^a   Wang, Yao Nan ^b  

^a XIANGTAN UNIVERSITY   (China)

^b HUNAN UNIVERSITY   (China)

Author keywords

Dissolved gas analysis (DGA); Diversity; Fault diagnosis; Neural network ensemble; Power transformer

Indexed keywords

CLASSIFIERS; DISSOLUTION; GAS CHROMATOGRAPHY; LEARNING ALGORITHMS; POWER TRANSFORMERS; TRANSFORMER SUBSTATIONS;

BP NETWORKS; CLASSIFIERS ENSEMBLE; COMPONENT CLASSIFIERS; DIAGNOSTIC PERFORMANCE; DISSOLVED GAS ANALYSIS; DIVERSITY; ENSEMBLE METHODS; ERROR CORRELATION; ERROR FUNCTION; FAULT DIAGNOSIS; IEC METHOD; INDIVIDUAL NETWORK; LEARNING CRITERION; LEARNING PROBLEM; NEURAL NETWORK ENSEMBLE; NEURAL NETWORK ENSEMBLES; PERFORMANCE ENHANCEMENTS;

NEURAL NETWORKS;

EID: 77955785597     PISSN: 02588013     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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