Neural networks applied to the design of dry-type transformers: an example to analyze the winding temperature and elevate the thermal quality
Author:
Affiliation:
1. Universidade Tecnológica do Paraná; Cornélio Procópio Paraná Brazil
2. Universidade Estadual de Londrina, Departamento de Engenharia Elétrica; Laboratório de Automação e Instrumentação Inteligente; Londrina Paraná Brazil
Publisher
Hindawi Limited
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/etep.2257/fullpdf
Reference30 articles.
1. Partial discharge localization on dry-type transformers;Szczechowski;International Conference on High Voltage Engineering and Application
2. Mariano Berrogain Martin Carlen Dry-type transformers for subtransmission 22nd International Conference and Exhibition on Electricity Distribution 1 4 2013 10.1049/cp.2013.1089
3. Shiyou Wang Youyuan Wang Xuetong ZHAO Calculating model of insulation life loss of dry-type transformer based on the hot-spot temperature IEEE 11th International Conference on the Properties and Applications of Dieletric Materials 720 723 2015
4. A.K. Yadav A. Azeem A. Singh H. Malik O. P. Rahi Application research based on artificial neural network (ANN) to predict no-load loss for transformer's design 180 183 2011
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