IEEJ Transactions on Power and Energy
Online ISSN : 1348-8147
Print ISSN : 0385-4213
ISSN-L : 0385-4213
Paper
Basic Study for Electric Field Calculation by Application of Machine Learning
Katsumi KatoShigeru KatoShinya Matsutomo
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2018 Volume 138 Issue 4 Pages 297-302

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Abstract

Electric field analysis is one of the most important tools for the insulation design of high voltage power apparatus. The efficient method of electric field analysis is required for the insulation design and its optimization processes. In this paper, we made basic study for a process on electric field calculation with the aid of a machine learning technique. A lot of data by electric field analysis are used for the machine learning process. The machine learning is carried out before the analyzed configuration are determined. As a result, it is expected to obtain the electric field analysis results with less calculation time. As a first step, the basic availability of the process is confirmed by using the calculation examples.

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© 2018 by the Institute of Electrical Engineers of Japan
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