Referierte Publikationen
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Artikel in Zeitschriften (referiert) [1]
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[Kre23]
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Kreutz, M.; Ait Alla, A.; Lütjen, M.; Ohlendorf, J.; Freitag, M.; Thoben, K.; Zimnol, F.; Greulich, A.: Ice prediction for wind turbine rotor blades with time series data and a deep learning approach. In: Cold Regions Science and Technology, 206(2023)0, pp. 12
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Konferenzbeiträge (referiert) [4]
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[Kre21a]
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Kreutz, M.; Ait Alla, A.; Varasteh, K.; Ohlendorf, J.; Lütjen, M.; Freitag, M.; Thoben, K.: Convolutional neural network with dual inputs for time series ice prediction on rotor blades of wind turbines. In: Procedia CIRP. 54th CIRP Conference on Manufacturing Systems, Elsevier B.V, Amsterdam, NL, 2021, pp. 446-451
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[Kre20]
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Kreutz, M.; Ait Alla, A.; Eisenstadt, A.; Freitag, M.; Thoben, K.: Ice Detection on Rotor Blades of Wind Turbines using RGB Images and Convolutional Neural Networks. In: Procedia CIRP. 53nd CIRP Conference on Manufacturing Systems, Elsevier B.V, Amsterdam, NL, 2020, pp. 1292-1297
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[Kre20b]
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Kreutz, M.; Ait Alla, A.; Varasteh, K.; Lütjen, M.; Freitag, M.; Thoben, K.: Investigation of icing causes on wind turbine rotor blades using machine learning models, minimalistic input data and a full-factorial design. In: Procedia Manufacturing 52(2020). Proc. of SysInt 2020. Elsevier B.V, Amsterdam, NL, 2020, pp. 168-173
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[Kre19]
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Kreutz, M.; Ait Alla, A.; Varasteh, K.; Oelker, S.; Greulich, A.; Freitag, M.; Thoben, K.: Machine learning-based icing prediction on wind turbines. In: Vrabic, R. (eds.): Procedia CIRP. 52nd CIRP Conference on Manufacturing Systems (CMS), Elsevier B.V, Amsterdam, NL, 2019, pp. 423 - 428
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