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14 Publications
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
| DOI
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
LibreCat
| DOI
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
LibreCat
| DOI
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
LibreCat
| DOI