40 citations · 54 across the 3 of their papers we have counts for
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Deep learning based Meta-modeling for Multi-objective Technology Optimization of Electrical Machines
Vivek Parekh, Dominik Flore, Sebastian Schöps
Optimization of rotating electrical machines is both time- and computationally expensive. Because of the different parametrization, design optimization is commonly executed separat…
Multi-Objective Optimization of Electrical Machines using a Hybrid Data-and Physics-Driven Approach
Vivek Parekh, Dominik Flore, Sebastian Schöps +1
Magneto-static finite element (FE) simulations make numerical optimization of electrical machines very time-consuming and computationally intensive during the design stage. In this…
Deep Learning-based Prediction of Key Performance Indicators for Electrical Machine
Vivek Parekh, Dominik Flore, Sebastian Schöps
The design of an electrical machine can be quantified and evaluated by Key Performance Indicators (KPIs) such as maximum torque, critical field strength, costs of active parts, sou…