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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
2021 | Journal Article | LibreCat-ID: 21254
@article{Balakrishna_Book_Kirchgässner_Schenke_Traue_Wallscheid_2021, title={gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems}, DOI={10.21105/joss.02498}, number={2498}, journal={Journal of Open Source Software}, author={Balakrishna, Praneeth and Book, Gerrit and Kirchgässner, Wilhelm and Schenke, Maximilian and Traue, Arne and Wallscheid, Oliver}, year={2021} }
LibreCat
| DOI
2021 | Preprint | LibreCat-ID: 29655
@article{Kirchgässner_Wallscheid_Böcker_2021, title={Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning}, journal={arXiv preprint arXiv:2103.16323}, author={Kirchgässner, Wilhelm and Wallscheid, Oliver and Böcker, Joachim}, year={2021} }
LibreCat
2020 | Journal Article | LibreCat-ID: 21252
@article{Traue_Book_Kirchgässner_Wallscheid_2020, title={Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control}, DOI={10.1109/tnnls.2020.3029573}, journal={IEEE Transactions on Neural Networks and Learning Systems}, author={Traue, Arne and Book, Gerrit and Kirchgässner, Wilhelm and Wallscheid, Oliver}, year={2020}, pages={1–10} }
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 21250
@article{Kirchgässner_Wallscheid_Böcker_2020, title={Estimating Electric Motor Temperatures with Deep Residual Machine Learning}, volume={36}, DOI={10.1109/tpel.2020.3045596}, number={7}, journal={IEEE Transactions on Power Electronics}, author={Kirchgässner, Wilhelm and Wallscheid, Oliver and Böcker, Joachim}, year={2020}, pages={7480–7488} }
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 29640
@article{Kirchgässner_Wallscheid_Böcker_2020, title={Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning}, journal={arXiv preprint arXiv:2001.06246}, author={Kirchgässner, Wilhelm and Wallscheid, Oliver and Böcker, Joachim}, year={2020} }
LibreCat
2019 | Journal Article | LibreCat-ID: 25030
@article{Schenke_Kirchgässner_Wallscheid_2019, title={Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept}, DOI={10.1109/tii.2019.2948387}, journal={IEEE Transactions on Industrial Informatics}, author={Schenke, Maximilian and Kirchgässner, Wilhelm and Wallscheid, Oliver}, year={2019}, pages={4650–4658} }
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 21247
@inproceedings{Kirchgässner_Wallscheid_Böcker_2019, title={Empirical Evaluation of Exponentially Weighted Moving Averages for Simple Linear Thermal Modeling of Permanent Magnet Synchronous Machines}, DOI={10.1109/isie.2019.8781195}, booktitle={2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)}, author={Kirchgässner, Wilhelm and Wallscheid, Oliver and Böcker, Joachim}, year={2019} }
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 21249
@inproceedings{Kirchgässner_Wallscheid_Böcker_2019, title={Deep Residual Convolutional and Recurrent Neural Networks for Temperature Estimation in Permanent Magnet Synchronous Motors}, DOI={10.1109/iemdc.2019.8785109}, booktitle={2019 IEEE International Electric Machines & Drives Conference (IEMDC)}, author={Kirchgässner, Wilhelm and Wallscheid, Oliver and Böcker, Joachim}, year={2019} }
LibreCat
| DOI
2017 | Conference Paper | LibreCat-ID: 21248
@inproceedings{Wallscheid_Kirchgässner_Böcker_2017, title={Investigation of long short-term memory networks to temperature prediction for permanent magnet synchronous motors}, DOI={10.1109/ijcnn.2017.7966088}, booktitle={2017 International Joint Conference on Neural Networks (IJCNN)}, author={Wallscheid, Oliver and Kirchgässner, Wilhelm and Böcker, Joachim}, year={2017} }
LibreCat
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