An assessment method for identifying thermal aging condition of oil-paper insulation utilizing factor vectors of partial discharge

Diangong Jishu Xuebao/Transactions of China Electrotechnical Society

Volumn 25, Issue 9, 2010, Pages 28-34

  Liao, Ruijin ^a   Wang, Ke ^a   Zhou, Tianchun ^a   Yang, Lijun ^a   Xiao, Zhongnan ^a  

^a CHONGQING UNIVERSITY   (China)

Author keywords

BP neural network; Genetic algorithm; Oil paper insulation; Partial discharge; Thermal ageing condition assessment

Indexed keywords

ACCELERATED AGING; AGING CONDITIONS; AGING DEGREE; ASSESSMENT METHODS; ASSESSMENT MODELS; BP NETWORKS; BP NEURAL NETWORKS; CHEMICAL METHOD; GA-BP NETWORKS; LEVENBERG-MARQUARDT ALGORITHM; OIL PAPER INSULATION; OIL-PAPERS; PRINCIPAL COMPONENTS; RECOGNITION RATES; SINGLE OBJECTIVE; STATISTICAL PARAMETERS; TEST SAMPLES; THERMAL AGEING; THREE-LAYER; TRANSFORMER OIL; UNIT CIRCLES;

BACKPROPAGATION; GENETIC ALGORITHMS; LAGRANGE MULTIPLIERS; NETWORK LAYERS; OIL FILLED TRANSFORMERS; PARTIAL DISCHARGES; PETROLEUM REFINING; PRINCIPAL COMPONENT ANALYSIS; STEEL BRIDGES; THERMAL AGING; THERMAL INSULATION;

NEURAL NETWORKS;

EID: 78649676416     PISSN: 10006753     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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