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14 Publications
2022 | Journal Article | LibreCat-ID: 34065
@article{Kirchgässner_Wallscheid_Böcker_2022, title={Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning}, volume={117}, DOI={10.1016/j.engappai.2022.105537}, number={105537}, journal={Engineering Applications of Artificial Intelligence}, publisher={Elsevier BV}, author={Kirchgässner, Wilhelm and Wallscheid, Oliver and Böcker, Joachim}, year={2022} }
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 32859
@inproceedings{Kirchgässner_Wallscheid_Böcker_2022, title={Learning Thermal Properties and Temperature Models of Electric Motors with Neural Ordinary Differential Equations}, DOI={10.23919/ipec-himeji2022-ecce53331.2022.9807209}, booktitle={2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia)}, publisher={IEEE}, author={Kirchgässner, Wilhelm and Wallscheid, Oliver and Böcker, Joachim}, year={2022} }
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 42894
@inproceedings{Kirchgässner_Wöckinger_Wallscheid_Bramerdorfer_Böcker_2022, title={Application of Thermal Neural Networks on a Small-Scale Electric Motor}, booktitle={IKMT 2022; 13. GMM/ETG-Symposium}, author={Kirchgässner, Wilhelm and Wöckinger, Daniel and Wallscheid, Oliver and Bramerdorfer, Gerd and Böcker, Joachim}, year={2022}, pages={1–6} }
LibreCat
2021 | Journal Article | LibreCat-ID: 22162
@article{Book_Traue_Balakrishna_Brosch_Schenke_Hanke_Kirchgässner_Wallscheid_2021, title={Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments}, DOI={10.1109/ojpel.2021.3065877}, journal={IEEE Open Journal of Power Electronics}, author={Book, Gerrit and Traue, Arne and Balakrishna, Praneeth and Brosch, Anian and Schenke, Maximilian and Hanke, Sören and Kirchgässner, Wilhelm and Wallscheid, Oliver}, year={2021}, pages={187–201} }
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 21251
@article{Kirchgässner_Wallscheid_Böcker_2021, title={Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark}, volume={36}, DOI={10.1109/tec.2021.3052546}, number={3}, journal={IEEE Transactions on Energy Conversion}, author={Kirchgässner, Wilhelm and Wallscheid, Oliver and Böcker, Joachim}, year={2021}, pages={2059–2067} }
LibreCat
| DOI