ACLI Revue internationale avec comité de lecture |
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[1] Investigation of Convolutional Neural Network U-net under Small Datasets in Transformer Magneto-Thermal Coupled Analysis
The International Journal for Computation and Mathematics in Electrical and Electronic Engineering (COMPEL), Vol. 39, N°. 4, pages. 959-970, 08/2020, URL, Abstract
GONG Ruohan, TANG Zuqi |
This paper aims to investigate the approach combine the deep learning (DL) and finite element method for the magneto-thermal coupled problem. |
ACT Conférence internationale avec acte |
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[1] Convolutional Neural Network U-net applied in Transformer Multi-physics Analysis
COMPUMAG 2019, Paris, France, 07/2019
GONG Ruohan, TANG Zuqi |
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[2] 3D coupled electromagnetic-fluid-thermal analysis and experiment of 10kV oil-immersed triangular wound core transformer
2019 Joint MMM-Intermag, January 14-18, 2019 Washington, DC, 01/2019
GONG Ruohan, TANG Zuqi, WANG Shuhong, HENNERON Thomas, RUAN Jiangjun |
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