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