DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms
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.
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Conference Paper
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Author
Mohammadi, Hassan Ghasemzadeh;
Arshad, Rahil;
Rautmare, Sneha;
Manjunatha, Suraj;
Kuschel, MauriceLibreCat;
Jentzsch, Felix Paul;
Platzner, Marco;
Boschmann, Alexander;
Schollbach, Dirk
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Proceedings Title
2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
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Mohammadi HG, Arshad R, Rautmare S, et al. DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms. In: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE; 2020. doi:10.1109/etfa46521.2020.9211880
Mohammadi, H. G., Arshad, R., Rautmare, S., Manjunatha, S., Kuschel, M., Jentzsch, F. P., Platzner, M., Boschmann, A., & Schollbach, D. (2020). DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms. 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). https://doi.org/10.1109/etfa46521.2020.9211880
@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={10.1109/etfa46521.2020.9211880}, 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, 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 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, 2020. https://doi.org/10.1109/etfa46521.2020.9211880.
H. G. Mohammadi et al., “DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms,” 2020, doi: 10.1109/etfa46521.2020.9211880.
Mohammadi, Hassan Ghasemzadeh, et al. “DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms.” 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2020, doi:10.1109/etfa46521.2020.9211880.
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