Wilhelm Kirchgässner
Power Electronics and Electrical Drives
Former
Machine Learning in electric drives
- E-Mail:
- kirchgaessner@lea.uni-paderborn.de
- Phone:
- +49 5251 60-5048
- Web:
- Homepage
- Office Address:
-
Pohlweg 55
33098 Paderborn - Room:
- E4.324
Publications
Latest Publications
Reinforcement Learning: A Comprehensive Open-Source Course
A.H.A. Abdelwanis, B. Haucke-Korber, D. Jakobeit, W. Kirchgässner, M. Meyer, M. Schenke, H. Vater, O. Wallscheid, D. Weber, Journal of Open Source Education 9 (2026).
Data-driven thermal modeling of a permanent magnet synchronous motor with machine learning
W. Kirchgässner, 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. Kirchgässner, O. Wallscheid, J. Böcker, Engineering Applications of Artificial Intelligence 117 (2022).
Learning Thermal Properties and Temperature Models of Electric Motors with Neural Ordinary Differential Equations
W. Kirchgässner, O. Wallscheid, J. Böcker, 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. Kirchgässner, D. Wöckinger, O. Wallscheid, G. Bramerdorfer, J. Böcker, in: IKMT 2022; 13. GMM/ETG-Symposium, 2022, pp. 1–6.
Show all publications