Diagnosing faults in power transformers with autoassociative neural networks and mean shift

IEEE Transactions on Power Delivery

Volumn 27, Issue 3, 2012, Pages 1350-1357

  Miranda, Vladimiro ^a,b   Castro, Adriana R Garcez ^c   Lima, Shigeaki ^a,d  

^a UNIVERSITY OF PORTO   (Portugal)

^b UNIVERSITY OF PORTO   (Portugal)

^c FEDERAL UNIVERSITY OF PARÁ   (Brazil)

^d FEDERAL UNIVERSITY OF MARANHÃO   (Brazil)

Author keywords

Autoassociative neural networks; dissolved gas analysis (DGA); information theoretic learning; mean shift; transformer fault diagnosis

Indexed keywords

AUTOASSOCIATIVE NEURAL NETWORKS; DISSOLVED GAS ANALYSIS; INFORMATION THEORETIC LEARNING; MEAN SHIFT; TRANSFORMER FAULT DIAGNOSIS;

INFORMATION THEORY; NEURAL NETWORKS; POWER TRANSFORMERS;

INFORMATION USE;

EID: 84863003454     PISSN: 08858977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRD.2012.2188143     Document Type: Article

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