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Nelles, in: 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), IEEE, 2023.","bibtex":"@inproceedings{Gedlu_Wallscheid_Böcker_Nelles_2023, title={Online system identification and excitation for thermal monitoring of electric machines using machine learning and model predictive control}, DOI={<a href=\"https://doi.org/10.1109/sdemped54949.2023.10271427\">10.1109/sdemped54949.2023.10271427</a>}, booktitle={2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)}, publisher={IEEE}, author={Gedlu, Emebet Gebeyehu and Wallscheid, Oliver and Böcker, Joachim and Nelles, Oliver}, year={2023} }","apa":"Gedlu, E. G., Wallscheid, O., Böcker, J., &#38; Nelles, O. (2023). Online system identification and excitation for thermal monitoring of electric machines using machine learning and model predictive control. <i>2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)</i>. <a href=\"https://doi.org/10.1109/sdemped54949.2023.10271427\">https://doi.org/10.1109/sdemped54949.2023.10271427</a>","chicago":"Gedlu, Emebet Gebeyehu, Oliver Wallscheid, Joachim Böcker, and Oliver Nelles. “Online System Identification and Excitation for Thermal Monitoring of Electric Machines Using Machine Learning and Model Predictive Control.” In <i>2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)</i>. IEEE, 2023. <a href=\"https://doi.org/10.1109/sdemped54949.2023.10271427\">https://doi.org/10.1109/sdemped54949.2023.10271427</a>.","ieee":"E. G. Gedlu, O. Wallscheid, J. Böcker, and O. Nelles, “Online system identification and excitation for thermal monitoring of electric machines using machine learning and model predictive control,” 2023, doi: <a href=\"https://doi.org/10.1109/sdemped54949.2023.10271427\">10.1109/sdemped54949.2023.10271427</a>.","ama":"Gedlu EG, Wallscheid O, Böcker J, Nelles O. Online system identification and excitation for thermal monitoring of electric machines using machine learning and model predictive control. In: <i>2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)</i>. 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In: <i>2021 IEEE International Electric Machines &#38; Drives Conference (IEMDC)</i>. ; 2021:1–8. doi:<a href=\"https://doi.org/10.1109/IEMDC47953.2021.9449548\">10.1109/IEMDC47953.2021.9449548</a>"},"page":"1–8","year":"2021"},{"status":"public","type":"conference","publication":"The 10th International Conference on Power Electronics, Machines and Drives (PEMD 2020)","language":[{"iso":"eng"}],"_id":"29641","user_id":"11291","department":[{"_id":"52"}],"year":"2020","citation":{"bibtex":"@inproceedings{Gedlu_Wallscheid_Böcker_2020, title={Permanent magnet synchronous machine temperature estimation using low-order lumped-parameter thermal network with extended iron loss model}, volume={2020}, booktitle={The 10th International Conference on Power Electronics, Machines and Drives (PEMD 2020)}, author={Gedlu, Emebet Gebeyehu and Wallscheid, Oliver and Böcker, Joachim}, year={2020}, pages={937–942} }","short":"E.G. Gedlu, O. Wallscheid, J. 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