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14 Publications


2022 | Journal Article | LibreCat-ID: 34065
Kirchgässner, Wilhelm, et al. “Thermal Neural Networks: Lumped-Parameter Thermal Modeling with State-Space Machine Learning.” Engineering Applications of Artificial Intelligence, vol. 117, 105537, Elsevier BV, 2022, doi:10.1016/j.engappai.2022.105537.
LibreCat | DOI
 

2022 | Conference Paper | LibreCat-ID: 32859
Kirchgässner, Wilhelm, et al. “Learning Thermal Properties and Temperature Models of Electric Motors with Neural Ordinary Differential Equations.” 2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia), IEEE, 2022, doi:10.23919/ipec-himeji2022-ecce53331.2022.9807209.
LibreCat | DOI
 

2022 | Conference Paper | LibreCat-ID: 42894
Kirchgässner, Wilhelm, et al. “Application of Thermal Neural Networks on a Small-Scale Electric Motor.” IKMT 2022; 13. GMM/ETG-Symposium, 2022, pp. 1–6.
LibreCat
 

2021 | Journal Article | LibreCat-ID: 22162
Book, Gerrit, et al. “Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments.” IEEE Open Journal of Power Electronics, 2021, pp. 187–201, doi:10.1109/ojpel.2021.3065877.
LibreCat | DOI
 

2021 | Journal Article | LibreCat-ID: 21251
Kirchgässner, Wilhelm, et al. “Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark.” IEEE Transactions on Energy Conversion, vol. 36, no. 3, 2021, pp. 2059–67, doi:10.1109/tec.2021.3052546.
LibreCat | DOI
 

2021 | Journal Article | LibreCat-ID: 21254
Balakrishna, Praneeth, et al. “Gym-Electric-Motor (GEM): A Python Toolbox for the Simulation of Electric Drive Systems.” Journal of Open Source Software, 2498, 2021, doi:10.21105/joss.02498.
LibreCat | DOI
 

2021 | Preprint | LibreCat-ID: 29655
Kirchgässner, Wilhelm, et al. “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, et al. “Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control.” IEEE Transactions on Neural Networks and Learning Systems, 2020, pp. 1–10, doi:10.1109/tnnls.2020.3029573.
LibreCat | DOI
 

2020 | Journal Article | LibreCat-ID: 21250
Kirchgässner, Wilhelm, et al. “Estimating Electric Motor Temperatures with Deep Residual Machine Learning.” IEEE Transactions on Power Electronics, vol. 36, no. 7, 2020, pp. 7480–88, doi:10.1109/tpel.2020.3045596.
LibreCat | DOI
 

2020 | Journal Article | LibreCat-ID: 29640
Kirchgässner, Wilhelm, et al. “Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning.” ArXiv Preprint ArXiv:2001.06246, 2020.
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