conference paper published Hassan Ghasemzadeh Mohammadi author Rahil Arshad author Sneha Rautmare author Suraj Manjunatha author Maurice Kuschel author 56070 Felix Paul Jentzsch author Marco Platzner author Alexander Boschmann author Dirk Schollbach author IEEE2020 eng 10.1109/etfa46521.2020.9211880 Mohammadi HG, Arshad R, Rautmare S, et al. DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms. In: <i>2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. IEEE; 2020. doi:<a href="https://doi.org/10.1109/etfa46521.2020.9211880">10.1109/etfa46521.2020.9211880</a> @inproceedings{Mohammadi_Arshad_Rautmare_Manjunatha_Kuschel_Jentzsch_Platzner_Boschmann_Schollbach_2020, title={DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms}, DOI={<a href="https://doi.org/10.1109/etfa46521.2020.9211880">10.1109/etfa46521.2020.9211880</a>}, booktitle={2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}, publisher={IEEE}, author={Mohammadi, Hassan Ghasemzadeh and Arshad, Rahil and Rautmare, Sneha and Manjunatha, Suraj and Kuschel, Maurice and Jentzsch, Felix Paul and Platzner, Marco and Boschmann, Alexander and Schollbach, Dirk}, year={2020} } Mohammadi, Hassan Ghasemzadeh, et al. “DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms.” <i>2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, IEEE, 2020, doi:<a href="https://doi.org/10.1109/etfa46521.2020.9211880">10.1109/etfa46521.2020.9211880</a>. Mohammadi, Hassan Ghasemzadeh, Rahil Arshad, Sneha Rautmare, Suraj Manjunatha, Maurice Kuschel, Felix Paul Jentzsch, Marco Platzner, Alexander Boschmann, and Dirk Schollbach. “DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms.” In <i>2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. IEEE, 2020. <a href="https://doi.org/10.1109/etfa46521.2020.9211880">https://doi.org/10.1109/etfa46521.2020.9211880</a>. H.G. Mohammadi, R. Arshad, S. Rautmare, S. Manjunatha, M. Kuschel, F.P. Jentzsch, M. Platzner, A. Boschmann, D. Schollbach, in: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2020. Mohammadi, H. G., Arshad, R., Rautmare, S., Manjunatha, S., Kuschel, M., Jentzsch, F. P., Platzner, M., Boschmann, A., &#38; Schollbach, D. (2020). DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms. <i>2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. <a href="https://doi.org/10.1109/etfa46521.2020.9211880">https://doi.org/10.1109/etfa46521.2020.9211880</a> H. G. Mohammadi <i>et al.</i>, “DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms,” 2020, doi: <a href="https://doi.org/10.1109/etfa46521.2020.9211880">10.1109/etfa46521.2020.9211880</a>. 533052024-04-05T14:41:44Z2024-04-05T14:50:35Z