Wilhelm Kirchgässner
Orcid: 0000-0001-9490-1843
According to our database1,
Wilhelm Kirchgässner
authored at least 10 papers
between 2017 and 2024.
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Bibliography
2024
HARDCORE: H-field and power loss estimation for arbitrary waveforms with residual, dilated convolutional neural networks in ferrite cores.
CoRR, 2024
2023
Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning.
Eng. Appl. Artif. Intell., 2023
2022
Controller Design for Electrical Drives by Deep Reinforcement Learning - a Proof of Concept (Supplementary Material).
Dataset, May, 2022
Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control.
IEEE Trans. Neural Networks Learn. Syst., 2022
2021
gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems.
J. Open Source Softw., 2021
2020
Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept.
IEEE Trans. Ind. Informatics, 2020
Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning.
CoRR, 2020
2019
Towards a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control.
CoRR, 2019
Empirical Evaluation of Exponentially Weighted Moving Averages for Simple Linear Thermal Modeling of Permanent Magnet Synchronous Machines.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
2017
Investigation of long short-term memory networks to temperature prediction for permanent magnet synchronous motors.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017