A cascade of artificial neural networks to predict transformers oil parameters

IEEE Transactions on Dielectrics and Electrical Insulation

Volumn 16, Issue 2, 2009, Pages 516-523

  Shaban, Khaled ^a   El Hag, Ayman ^b   Matveev, Andrei ^c  

^a Qatar University   (Qatar)

^b AMERICAN UNIVERSITY OF SHARJAH   (United Arab Emirates)

^c UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Back propagation learning algorithm; Megger test; Multilayer feed forward artificial neural networks; Transformer insulation aging; Transformer oil

Indexed keywords

BACK-PROPAGATION LEARNING ALGORITHM; MEGGER TEST; MULTILAYER FEED FORWARD ARTIFICIAL NEURAL NETWORKS; TRANSFORMER INSULATION AGING; TRANSFORMER OIL;

BACKPROPAGATION; EDUCATION; ELECTRIC BREAKDOWN; ELECTRIC CONDUCTIVITY; ELECTRIC TRANSFORMER INSULATION; ELECTRIC TRANSFORMER TESTING; ELECTRIC WINDINGS; INSULATING OIL; IONIZATION OF GASES; LEARNING ALGORITHMS; LEARNING SYSTEMS; MULTILAYERS; OIL FILLED TRANSFORMERS; OIL RESISTANCE; WATER CONTENT; WINDING;

MULTILAYER NEURAL NETWORKS;

EID: 65349104788     PISSN: 10709878     EISSN: None     Source Type: Journal    
DOI: 10.1109/TDEI.2009.4815187     Document Type: Article

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