Application of an Artificial Neural Network in the use of physicochemical properties as a low cost proxy of power transformers DGA data

IEEE Transactions on Dielectrics and Electrical Insulation

Volumn 19, Issue 1, 2012, Pages 239-246

  Barbosa, Fábio R ^a   Almeida, Otacílio M ^a   Braga, Arthur P S ^a   Amora, Márcio A B ^a   Cartaxo, Samuel J M ^a  

^a FEDERAL UNIVERSITY OF CEARÁ   (Brazil)

Author keywords

Dielectric measurements; Neural networks; Oil insulation; Power transformers

Indexed keywords

ARTIFICIAL NEURAL NETWORK; DIELECTRIC MEASUREMENTS; DISSOLVED GAS; DISSOLVED GAS ANALYSIS; INCIPIENT FAULTS; LOW COSTS; LOWER COST; NON-LINEAR DYNAMICS; OIL INSULATIONS; OPERATION CONDITIONS; OPERATIONAL CONDITIONS; PHYSICO-CHEMICAL TEST; PHYSICOCHEMICAL ANALYSIS; PHYSICOCHEMICAL PROPERTY; POWER UTILITY;

CHROMATOGRAPHIC ANALYSIS; CHROMATOGRAPHY; INSULATING OIL; NEURAL NETWORKS;

POWER TRANSFORMERS;

EID: 84857275449     PISSN: 10709878     EISSN: None     Source Type: Journal    
DOI: 10.1109/TDEI.2012.6148524     Document Type: Article

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