Multi-Objective Yield Optimization for Electrical Machines Using Gaussian Processes to Learn Faulty Design

Author:

Huber Morten Christian1ORCID,Fuhrländer Mona1ORCID,Schöps Sebastian1ORCID

Affiliation:

1. Computational Electromagnetics Group, Technische Universität Darmstadt, Darmstadt, Germany

Funder

Graduate School CE within the Centre for Computational Engineering at Technische Universität Darmstadt

DFG/FWF Collaborative Research Centre CREATOR

TU Graz, Internationale Beziehungen und Mobilitätsprogramme

JKU Linz

Bundesministerium für Bildung und Forschung

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Systems Engineering

Reference41 articles.

1. Robust optimisation formulations for the design of an electric machine

2. Handbook of Heuristics

3. Six sigma quality approach to robust optimization;xiao;IEEE Trans Magn,2015

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1. Application of Artificial Intelligence Techniques on Computational Electromagnetics for Power System Apparatus: An Overview;IEEE Open Access Journal of Power and Energy;2024

2. Numerical Applications and Results;Design Methods for Reducing Failure Probabilities with Examples from Electrical Engineering;2023

3. Yield Estimation;Design Methods for Reducing Failure Probabilities with Examples from Electrical Engineering;2023

4. Introduction;Design Methods for Reducing Failure Probabilities with Examples from Electrical Engineering;2023

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