Artificial Intelligence based Multi Objective Optimization for Electrical Machines.
Bosch Postfach 30 02 40 70442Stuttgart
In general, different FEA tools are used to understand electromagnetic behavior of electrical machines and produce an optimal design solution. These tools take plenty of time to evaluate one single electromagnetic design. This research deals with the study of different deep learning approaches for the generation of optimal electrical machine design. It aims to reduce cost and simulation time in the process.
Parekh, Vivek ; Flore, Dominik ; Schöps, Sebastian (2021): Deep Learning-based Prediction of Key Performance Indicators for Electrical Machine. In: IEEE Access, ISSN: 2169-3536, ARXIV: 2012.11299, forthcoming. [Article]