The efficiency of transformers is critical to save electrical energy. There are three types of current transformer design methods. The current methods have problems. In this paper, we described current ways of designing a transformer, and we also explained their weakness. To overcome these weakness, we apply deep learning to designing a transformer. This paper also shows that our model recommend design parameters to satisfy design specification.

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ACIT '19: Proceedings of the 7th ACIS International Conference on Applied Computing and Information Technology

May 2019

248 pages

ISBN:9781450371735

DOI:10.1145/3325291

Conference Chair:
Kensei Tsuchida

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