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14 Publications
2022 | Journal Article | LibreCat-ID: 34065
W. Kirchgässner, O. Wallscheid, and J. Böcker, “Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning,” Engineering Applications of Artificial Intelligence, vol. 117, Art. no. 105537, 2022, doi: 10.1016/j.engappai.2022.105537.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 32859
W. Kirchgässner, O. Wallscheid, and J. Böcker, “Learning Thermal Properties and Temperature Models of Electric Motors with Neural Ordinary Differential Equations,” 2022, doi: 10.23919/ipec-himeji2022-ecce53331.2022.9807209.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 42894
W. Kirchgässner, D. Wöckinger, O. Wallscheid, G. Bramerdorfer, and J. Böcker, “Application of Thermal Neural Networks on a Small-Scale Electric Motor,” in IKMT 2022; 13. GMM/ETG-Symposium, 2022, pp. 1–6.
LibreCat
2021 | Journal Article | LibreCat-ID: 22162
G. Book et al., “Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments,” IEEE Open Journal of Power Electronics, pp. 187–201, 2021, doi: 10.1109/ojpel.2021.3065877.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 21251
W. Kirchgässner, O. Wallscheid, and J. Böcker, “Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark,” IEEE Transactions on Energy Conversion, vol. 36, no. 3, pp. 2059–2067, 2021, doi: 10.1109/tec.2021.3052546.
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| DOI