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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