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14 Publications
2019 | Journal Article | LibreCat-ID: 25030
Schenke M, Kirchgässner W, Wallscheid O. Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept. IEEE Transactions on Industrial Informatics. Published online 2019:4650-4658. doi:10.1109/tii.2019.2948387
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 21247
Kirchgässner W, Wallscheid O, Böcker J. 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. doi:10.1109/isie.2019.8781195
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 21249
Kirchgässner W, Wallscheid O, Böcker J. 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. doi:10.1109/iemdc.2019.8785109
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| DOI
2017 | Conference Paper | LibreCat-ID: 21248
Wallscheid O, Kirchgässner W, Böcker J. 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. doi:10.1109/ijcnn.2017.7966088
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