Artificial neural network-based cooling capacity estimation of various radiator configurations for power transformers operated in ONAN mode-Reference-Cited by-同舟云学术

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Artificial neural network-based cooling capacity estimation of various radiator configurations for power transformers operated in ONAN mode

Published:2024-05 Issue: Volume:50 Page:102515
ISSN:2451-9049
Container-title:Thermal Science and Engineering Progress
language:en
Short-container-title:Thermal Science and Engineering Progress

Author:

Koca Aliihsan^ORCID,Senturk Oguzkan,Çolak Andaç Batur,Bacak Aykut^ORCID,Dalkilic Ahmet Selim

Funder

TÜBİTAK

Publisher

Elsevier BV

Reference35 articles.

1. A new method for the calculation of the hot-spot temperature in power transformers with ONAN cooling;Radakovic;IEEE Trans. Power Delivery,2003

2. Intelligent localization of transformer internal degradations combining deep convolutional neural networks and image segmentation;Duan;IEEE Access,2019

3. Fast calculation of temperature distribution in oil-immersed transformer windings based on U-net neural network;Liu;AIP Adv.,2023

4. Hot-spot temperature forecasting of the instrument transformer using an artificial neural network;Juarez-Balderas;IEEE Access,2020

5. A new prediction model for transformer winding hotspot temperature fluctuation based on fuzzy information granulation and an optimized wavelet neural network;Zhang;Energies,2017

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