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14 Publications
2022 | Journal Article | LibreCat-ID: 34065
Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Thermal Neural Networks: Lumped-Parameter Thermal Modeling with State-Space Machine Learning.” Engineering Applications of Artificial Intelligence 117 (2022). https://doi.org/10.1016/j.engappai.2022.105537.
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2022 | Conference Paper | LibreCat-ID: 32859
Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Learning Thermal Properties and Temperature Models of Electric Motors with Neural Ordinary Differential Equations.” In 2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia). IEEE, 2022. https://doi.org/10.23919/ipec-himeji2022-ecce53331.2022.9807209.
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2022 | Conference Paper | LibreCat-ID: 42894
Kirchgässner, Wilhelm, Daniel Wöckinger, Oliver Wallscheid, Gerd Bramerdorfer, and Joachim Böcker. “Application of Thermal Neural Networks on a Small-Scale Electric Motor.” In IKMT 2022; 13. GMM/ETG-Symposium, 1–6, 2022.
LibreCat
2021 | Journal Article | LibreCat-ID: 22162
Book, Gerrit, Arne Traue, Praneeth Balakrishna, Anian Brosch, Maximilian Schenke, Sören Hanke, Wilhelm Kirchgässner, and Oliver Wallscheid. “Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments.” IEEE Open Journal of Power Electronics, 2021, 187–201. https://doi.org/10.1109/ojpel.2021.3065877.
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2021 | Journal Article | LibreCat-ID: 21251
Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark.” IEEE Transactions on Energy Conversion 36, no. 3 (2021): 2059–67. https://doi.org/10.1109/tec.2021.3052546.
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2021 | Journal Article | LibreCat-ID: 21254
Balakrishna, Praneeth, Gerrit Book, Wilhelm Kirchgässner, Maximilian Schenke, Arne Traue, and Oliver Wallscheid. “Gym-Electric-Motor (GEM): A Python Toolbox for the Simulation of Electric Drive Systems.” Journal of Open Source Software, 2021. https://doi.org/10.21105/joss.02498.
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2021 | Preprint | LibreCat-ID: 29655
Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning.” ArXiv Preprint ArXiv:2103.16323, 2021.
LibreCat
2020 | Journal Article | LibreCat-ID: 21252
Traue, Arne, Gerrit Book, Wilhelm Kirchgässner, and Oliver Wallscheid. “Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control.” IEEE Transactions on Neural Networks and Learning Systems, 2020, 1–10. https://doi.org/10.1109/tnnls.2020.3029573.
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2020 | Journal Article | LibreCat-ID: 21250
Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Estimating Electric Motor Temperatures with Deep Residual Machine Learning.” IEEE Transactions on Power Electronics 36, no. 7 (2020): 7480–88. https://doi.org/10.1109/tpel.2020.3045596.
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2020 | Journal Article | LibreCat-ID: 29640
Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning.” ArXiv Preprint ArXiv:2001.06246, 2020.
LibreCat
2019 | Journal Article | LibreCat-ID: 25030
Schenke, Maximilian, Wilhelm Kirchgässner, and Oliver Wallscheid. “Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept.” IEEE Transactions on Industrial Informatics, 2019, 4650–58. https://doi.org/10.1109/tii.2019.2948387.
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2019 | Conference Paper | LibreCat-ID: 21247
Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Empirical Evaluation of Exponentially Weighted Moving Averages for Simple Linear Thermal Modeling of Permanent Magnet Synchronous Machines.” In 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), 2019. https://doi.org/10.1109/isie.2019.8781195.
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2019 | Conference Paper | LibreCat-ID: 21249
Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Deep Residual Convolutional and Recurrent Neural Networks for Temperature Estimation in Permanent Magnet Synchronous Motors.” In 2019 IEEE International Electric Machines & Drives Conference (IEMDC), 2019. https://doi.org/10.1109/iemdc.2019.8785109.
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2017 | Conference Paper | LibreCat-ID: 21248
Wallscheid, Oliver, Wilhelm Kirchgässner, and Joachim Böcker. “Investigation of Long Short-Term Memory Networks to Temperature Prediction for Permanent Magnet Synchronous Motors.” In 2017 International Joint Conference on Neural Networks (IJCNN), 2017. https://doi.org/10.1109/ijcnn.2017.7966088.
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