Finite element and neural network approach for positioning a magnetic shunt on the tank wall of a transformer-Reference-Cited by-同舟云学术

Finite element and neural network approach for positioning a magnetic shunt on the tank wall of a transformer

Published:2016-11 Issue:9 Volume:10 Page:827-833
ISSN:1751-8660
Container-title:IET Electric Power Applications
language:en
Short-container-title:IET Electric Power Applications

Author:

Díaz‐Chacón Juan M.¹,Hernandez Concepción²,Arjona Marco A.²

Affiliation:

1. Facultad de IngenieríaDepartamento de Ingeniería EléctricaUniversidad Autónoma de Baja CaliforniaBlvd. Benito Juárez S/N21280MexicaliB.C.Mexico

2. Division de Estudios de Posgrado e InvestigaciónInstituto Tecnológico de La LagunaPaseo de las Gemas 52, Residencial La Rosa27266TorreónCoah.Mexico

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-epa.2016.0045

Reference34 articles.

1. Reduction of Stray Losses in Flange–Bolt Regions of Large Power Transformer Tanks

2. A novel iron loss reduction technique for distribution transformers based on a combined genetic algorithm - neural network approach

3. New Methods for Computation of the Inductance Matrix of Transformer Windings for Very Fast Transients Studies

4. Heat‐transfer model for toroidal transformers;Purushothaman S.;IEEE Trans. Power Deliv.,2012

5. Accurate and Efficient Computation of the Inductance Matrix of Transformer Windings for the Simulation of Very Fast Transients

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