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Modeling the deformation behavior of wind turbine blades using artificial neural networks

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dc.contributor.author ZAPOROJAN, Sergiu
dc.contributor.author CARBUNE, Viorel
dc.contributor.author SLAVESCU, Radu Razvan
dc.contributor.author MUNTEANU, Eugeniu
dc.contributor.author DULGHERU, Valeriu
dc.contributor.author GUȚU, Marin
dc.date.accessioned 2024-06-12T11:51:24Z
dc.date.available 2024-06-12T11:51:24Z
dc.date.issued 2023
dc.identifier.citation ZAPOROJAN, Sergiu et al. Modeling the deformation behavior of wind turbine blades using artificial neural networks. In: 19th International Conference on Intelligent Computer Communication and Processing (ICCP), 26-28 October 2023, Cluj-Napoca, Romania, 2023, pp. 19-25. ISBN 979-8-3503-7034-8. e-ISBN 979-8-3503-7035-5. en_US
dc.identifier.isbn 979-8-3503-7034-8
dc.identifier.isbn 979-8-3503-7035-5
dc.identifier.uri https://doi.org/10.1109/ICCP60212.2023.10398625
dc.identifier.uri http://repository.utm.md/handle/5014/27380
dc.description Acces full text - https://doi.org/10.1109/ICCP60212.2023.10398625 en_US
dc.description.abstract In this paper, we propose a possible framework for modeling and predicting the deformation behavior of wind turbine blades. Blade reliability is vital in the operation and maintenance of a wind turbine. A possible way to intelligently monitor the condition of the blade is to acquire and process data on the current strains inside the blade structure. en_US
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) en_US
dc.relation.ispartofseries 19th International Conference on Intelligent Computer Communication and Processing (ICCP);26-28 October 2023, Cluj-Napoca, Romania
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject wind turbine blades deformation en_US
dc.subject rotors en_US
dc.subject artificial neural networks (ANN) en_US
dc.title Modeling the deformation behavior of wind turbine blades using artificial neural networks en_US
dc.type Article en_US


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