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ORCIDWilhelm Kirchgässner
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2020 – today
- 2024
[b1]Wilhelm Kirchgässner:
Data-driven thermal modeling of a permanent magnet synchronous motor with machine learning (Datengetriebene thermische Modellierung eines Permanentmagnet-Synchronomotors mittels maschinellem Lernen). Paderborn University, Germany, 2024- [i4]Wilhelm Kirchgässner, Nikolas Förster, Till Piepenbrock, Oliver Schweins, Oliver Wallscheid:
HARDCORE: H-field and power loss estimation for arbitrary waveforms with residual, dilated convolutional neural networks in ferrite cores. CoRR abs/2401.11488 (2024) - 2023
- [j4]Wilhelm Kirchgässner
, Oliver Wallscheid, Joachim Böcker:
Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning. Eng. Appl. Artif. Intell. 117(Part): 105537 (2023) - 2022
- [j3]Arne Traue, Gerrit Book, Wilhelm Kirchgässner, Oliver Wallscheid:
Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control. IEEE Trans. Neural Networks Learn. Syst. 33(3): 919-928 (2022) - [d1]Maximilian Schenke, Wilhelm Kirchgässner, Oliver Wallscheid:
Controller Design for Electrical Drives by Deep Reinforcement Learning - a Proof of Concept (Supplementary Material). IEEE DataPort, 2022
- 2021
- [j2]Praneeth Balakrishna, Gerrit Book, Wilhelm Kirchgässner, Maximilian Schenke, Arne Traue, Oliver Wallscheid:
gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems. J. Open Source Softw. 6(58): 2498 (2021) - [i3]Wilhelm Kirchgässner, Oliver Wallscheid, Joachim Böcker:
Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning. CoRR abs/2103.16323 (2021) - 2020
- [j1]Maximilian Schenke, Wilhelm Kirchgässner, Oliver Wallscheid:
Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept. IEEE Trans. Ind. Informatics 16(7): 4650-4658 (2020) - [i2]Wilhelm Kirchgässner, Oliver Wallscheid, Joachim Böcker:
Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning. CoRR abs/2001.06246 (2020)
2010 – 2019
- 2019
- [c2]Wilhelm Kirchgässner, Oliver Wallscheid, Joachim Böcker:
Empirical Evaluation of Exponentially Weighted Moving Averages for Simple Linear Thermal Modeling of Permanent Magnet Synchronous Machines. ISIE 2019: 318-323 - [i1]Arne Traue, Gerrit Book, Wilhelm Kirchgässner, Oliver Wallscheid:
Towards a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control. CoRR abs/1910.09434 (2019) - 2017
- [c1]Oliver Wallscheid, Wilhelm Kirchgässner, Joachim Böcker:
Investigation of long short-term memory networks to temperature prediction for permanent magnet synchronous motors. IJCNN 2017: 1940-1947
Coauthor Index
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