Artificial neural networks with stepwise regression for predicting transformer oil furan content

IEEE Transactions on Dielectrics and Electrical Insulation

Volumn 19, Issue 2, 2012, Pages 414-420

  Ghunem, Refat A ^a   Assaleh, Khaled ^b   El Hag, Ayman H ^b  

^a UNIVERSITY OF WATERLOO   (Canada)

^b AMERICAN UNIVERSITY OF SHARJAH   (United Arab Emirates)

Author keywords

artificial neural networks; furan content; oil quality parameters and dissolved gases; preventive maintenance; stepwise regression

Indexed keywords

CARBON DIOXIDE CONCENTRATIONS; COMBUSTIBLE GAS; DISSOLVED GAS; FURAN CONTENTS; MULTI LAYER PERCEPTRON; OIL QUALITY; OIL/PAPER INSULATION; OPERATING CONDITION; PHYSICAL NATURE; PREDICTION ACCURACY; PREDICTION MODEL; STEPWISE REGRESSION;

AROMATIC COMPOUNDS; CARBON DIOXIDE; CARBON MONOXIDE; HYDROCARBONS; HYDROGEN; MATHEMATICAL MODELS; NEURAL NETWORKS; ORGANIC POLLUTANTS; POWER TRANSFORMERS; PREVENTIVE MAINTENANCE; REGRESSION ANALYSIS;

OIL FILLED TRANSFORMERS;

EID: 84860114435     PISSN: 10709878     EISSN: None     Source Type: Journal    
DOI: 10.1109/TDEI.2012.6180233     Document Type: Article

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