dc.contributor.author | Khazaeli Moghadam, Farid | |
dc.contributor.author | de Souza Rebouças, Geraldo Francisco | |
dc.contributor.author | Nejad, Amir R. | |
dc.date.accessioned | 2021-04-12T11:24:35Z | |
dc.date.available | 2021-04-12T11:24:35Z | |
dc.date.created | 2021-04-09T09:02:05Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Forschung im Ingenieurwesen. 2021, . | en_US |
dc.identifier.issn | 0015-7899 | |
dc.identifier.uri | https://hdl.handle.net/11250/2737303 | |
dc.description.abstract | This paper presents a multi-degree of freedom torsional model of drivetrain system as the digital twin model for monitoring the remaining useful lifetime of the drivetrain components. An algorithm is proposed for the model identification, which receives the torsional response and estimated values of rotor and generator torques, and calculates the drivetrain dynamic properties, e.g. eigenvalues, and torsional model parameters. The applications of this model in prediction of gearbox remaining useful lifetime is discussed. The proposed method is computationally fast, and can be implemented by integrating with the current turbine control and monitoring system without a need for a new system and sensors installation. A test case, using 5 MW reference drivetrain, has been demonstrated. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Springer | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Digital twin modeling for predictive maintenance of gearboxes in floating offshore wind turbine drivetrains | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.pagenumber | 14 | en_US |
dc.source.journal | Forschung im Ingenieurwesen | en_US |
dc.identifier.doi | https://doi.org/10.1007/s10010-021-00468-9 | |
dc.identifier.cristin | 1903130 | |
dc.description.localcode | Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |