Wilhelm Kirchg?ssner
Leistungselektronik und Elektrische Antriebstechnik (LEA)
Ehemaliger
Maschinelles Lernen in der elektrischen Antriebstechnik
- E-Mail:
- kirchgaessner@lea.uni-paderborn.de
- Telefon:
- +49 5251 60-5048
- Web:
- Homepage
- Büroanschrift:
-
Pohlweg 55
33098 Paderborn - Raum:
- E4.324
Publikationen
Aktuelle Publikationen
Data-driven thermal modeling of a permanent magnet synchronous motor with machine learning
W. Kirchg?ssner, Data-Driven Thermal Modeling of a Permanent Magnet Synchronous Motor with Machine Learning, LibreCat University, 2024.
Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning
W. Kirchg?ssner, O. Wallscheid, J. B?cker, Engineering Applications of Artificial Intelligence 117 (2022).
Learning Thermal Properties and Temperature Models of Electric Motors with Neural Ordinary Differential Equations
W. Kirchg?ssner, O. Wallscheid, J. B?cker, in: 2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia), IEEE, 2022.
Application of Thermal Neural Networks on a Small-Scale Electric Motor
W. Kirchg?ssner, D. W?ckinger, O. Wallscheid, G. Bramerdorfer, J. B?cker, in: IKMT 2022; 13. GMM/ETG-Symposium, 2022, pp. 1–6.
Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments
G. Book, A. Traue, P. Balakrishna, A. Brosch, M. Schenke, S. Hanke, W. Kirchg?ssner, O. Wallscheid, IEEE Open Journal of Power Electronics (2021) 187–201.
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