Utilization of Deep Learning for The Improvement of Design Efficiency in The Field of Electric Machinery

Abstract

　Recently, many studies using deep learning have been reported in the field of design optimization of electric machinery based on electromagnetic field analysis. It is expected to bring unprecedented sophistication to design technology by performing complementary combination of the deductive finite element analysis with an inductive approach that constructs a Blackbox model between input and output through learning based on a large amount of data. This paper introduces some examples of effective use of both in the field of electric equipment design.