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15 Publications


2020 | Journal Article | LibreCat-ID: 29640
W. Kirchgässner, O. Wallscheid, and J. Böcker, “Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning,” arXiv preprint arXiv:2001.06246, 2020.
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2019 | Journal Article | LibreCat-ID: 25030
M. Schenke, W. Kirchgässner, and O. Wallscheid, “Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept,” IEEE Transactions on Industrial Informatics, pp. 4650–4658, 2019, doi: 10.1109/tii.2019.2948387.
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2019 | Conference Paper | LibreCat-ID: 21247
W. Kirchgässner, O. Wallscheid, and J. Böcker, “Empirical Evaluation of Exponentially Weighted Moving Averages for Simple Linear Thermal Modeling of Permanent Magnet Synchronous Machines,” 2019, doi: 10.1109/isie.2019.8781195.
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2019 | Conference Paper | LibreCat-ID: 21249
W. Kirchgässner, O. Wallscheid, and J. Böcker, “Deep Residual Convolutional and Recurrent Neural Networks for Temperature Estimation in Permanent Magnet Synchronous Motors,” 2019, doi: 10.1109/iemdc.2019.8785109.
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2017 | Conference Paper | LibreCat-ID: 21248
O. Wallscheid, W. Kirchgässner, and J. Böcker, “Investigation of long short-term memory networks to temperature prediction for permanent magnet synchronous motors,” 2017, doi: 10.1109/ijcnn.2017.7966088.
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