Deep Residual Convolutional and Recurrent Neural Networks for Temperature Estimation in Permanent Magnet Synchronous Motors
W. Kirchgässner, O. Wallscheid, J. Böcker, in: 2019 IEEE International Electric Machines & Drives Conference (IEMDC), 2019.
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2019 IEEE International Electric Machines & Drives Conference (IEMDC)
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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
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
@inproceedings{Kirchgässner_Wallscheid_Böcker_2019, title={Deep Residual Convolutional and Recurrent Neural Networks for Temperature Estimation in Permanent Magnet Synchronous Motors}, DOI={10.1109/iemdc.2019.8785109}, booktitle={2019 IEEE International Electric Machines & Drives Conference (IEMDC)}, author={Kirchgässner, Wilhelm and Wallscheid, Oliver and Böcker, Joachim}, year={2019} }
Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “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. https://doi.org/10.1109/iemdc.2019.8785109.
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.
Kirchgässner, Wilhelm, et al. “Deep Residual Convolutional and Recurrent Neural Networks for Temperature Estimation in Permanent Magnet Synchronous Motors.” 2019 IEEE International Electric Machines & Drives Conference (IEMDC), 2019, doi:10.1109/iemdc.2019.8785109.
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