40 citations · 73 across the 13 of their papers we have counts for
13 papers
Multivariate Sensitivity Analysis of Electric Machine Efficiency Maps and Profiles Under Design Uncertainty
Aylar Partovizadeh, Sebastian Schöps, Dimitrios Loukrezis
This work introduces the use of multivariate global sensitivity analysis for assessing the impact of uncertain electric machine design parameters on efficiency maps and profiles. C…
Learning electromagnetic fields based on finite element basis functions
Merle Backmeyer, Michael Wiesheu, Sebastian Schöps
Parametric surrogate models of electric machines are widely used for efficient design optimization and operational monitoring. Addressing geometry variations, spline-based computer…
A Two-Step Formulation of Maxwell's Equations Using Generalized Tree-Cotree Gauges for Low-Frequency-Stability
Leon Herles, Mario Mally, Jörg Ostrowski +2
This paper presents a new low-frequency stabilization for a two-step formulation solving the full set of Maxwell's equations. The formulation is based on a electric scalar and magn…
Foil Conductor Model for Efficient Simulation of HTS Coils in Large Scale Applications
Elias Paakkunainen, Louis Denis, Christophe Geuzaine +2
Homogenization techniques are an appealing approach to reduce computational complexity in systems containing coils with large numbers of high temperature superconductor (HTS) tapes…
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…
Magnetodynamic Finite-Element Simulation of Accelerator Magnets
H. De Gersem, I. Cortes Garcia, L. A. M. D'Angelo +1
This lecture note describes how to set up and what is behind a magnetodynamic field simulation for an accelerator magnet. The relevant formulation of Maxwell's equations is derived…