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14 Publications
2022 | Journal Article | LibreCat-ID: 34065
Kirchgässner, W., Wallscheid, O., & Böcker, J. (2022). Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning. Engineering Applications of Artificial Intelligence, 117, Article 105537. https://doi.org/10.1016/j.engappai.2022.105537
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 32859
Kirchgässner, W., Wallscheid, O., & Böcker, J. (2022). Learning Thermal Properties and Temperature Models of Electric Motors with Neural Ordinary Differential Equations. 2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia). https://doi.org/10.23919/ipec-himeji2022-ecce53331.2022.9807209
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 42894
Kirchgässner, W., Wöckinger, D., Wallscheid, O., Bramerdorfer, G., & Böcker, J. (2022). Application of Thermal Neural Networks on a Small-Scale Electric Motor. IKMT 2022; 13. GMM/ETG-Symposium, 1–6.
LibreCat
2021 | Journal Article | LibreCat-ID: 22162
Book, G., Traue, A., Balakrishna, P., Brosch, A., Schenke, M., Hanke, S., Kirchgässner, W., & Wallscheid, O. (2021). Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments. IEEE Open Journal of Power Electronics, 187–201. https://doi.org/10.1109/ojpel.2021.3065877
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 21251
Kirchgässner, W., Wallscheid, O., & Böcker, J. (2021). Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark. IEEE Transactions on Energy Conversion, 36(3), 2059–2067. https://doi.org/10.1109/tec.2021.3052546
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| DOI