Intelligent Localization of Transformer Internal Degradations Combining Deep Convolutional Neural Networks and Image Segmentation

IEEE Access

Volumn 7, Issue , 2019, Pages 62705-62720

  Duan, Jiajun ^a   He, Yigang ^a   Du, Bolun ^a   Ghandour, Ruaa M Rashad ^a   Wu, Wenjie ^a   Zhang, Hui ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Condition monitoring; convolutional neural networks (CNNs); fault diagnostics; Friedman test; image segmentation; lattice Boltzmann method (LBM); level set; transformers

Indexed keywords

COMPUTATIONAL FLUID DYNAMICS; CONDITION MONITORING; CONVOLUTION; DEEP NEURAL NETWORKS; ELECTRIC TRANSFORMER TESTING; ELECTRIC TRANSFORMERS; ITERATIVE METHODS; KINETIC THEORY; NEURAL NETWORKS; NUMERICAL METHODS; VELOCITY;

CONVOLUTIONAL NEURAL NETWORK; FAULT DIAGNOSTICS; FRIEDMAN TEST; LATTICE BOLTZMANN METHODS (LBM); LEVEL SET;

IMAGE SEGMENTATION;

EID: 85066777916     PISSN: None     EISSN: 21693536     Source Type: Journal    
DOI: 10.1109/ACCESS.2019.2916461     Document Type: Article

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