dc.contributor.author | Brijder, Robert | |
dc.contributor.author | Hagen, Catalina Hoem Musinoi | |
dc.contributor.author | Cortés, Ainhoa | |
dc.contributor.author | Irizar, Andoni | |
dc.contributor.author | Thibbotuwa, Upeksha Chathurani | |
dc.contributor.author | Helsen, Stijn | |
dc.contributor.author | Vásquez, Sandra | |
dc.contributor.author | Ompusunggu, Agusmian Partogi | |
dc.date.accessioned | 2023-01-09T07:57:21Z | |
dc.date.available | 2023-01-09T07:57:21Z | |
dc.date.created | 2022-11-28T09:04:01Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Frontiers in Energy Research. 2022, 10 1-22. | en_US |
dc.identifier.issn | 2296-598X | |
dc.identifier.uri | https://hdl.handle.net/11250/3041748 | |
dc.description.abstract | As large wind farms are now often operating far from the shore, remote condition monitoring and condition prognostics become necessary to avoid excessive operation and maintenance costs while ensuring reliable operation. Corrosion, and in particular uniform corrosion, is a leading cause of failure for Offshore Wind Turbine (OWT) structures due to the harsh and highly corrosive environmental conditions in which they operate. This paper reviews the state-of-the-art in corrosion mechanism and models, corrosion monitoring and corrosion prognostics with a view on the applicability to OWT structures. Moreover, we discuss research challenges and open issues as well strategic directions for future research and development of cost-effective solutions for corrosion monitoring and prognostics for OWT structures. In particular, we point out the suitability of non-destructive autonomous corrosion monitoring systems based on ultrasound measurements, combined with hybrid prognosis methods based on Bayesian Filtering and corrosion empirical models. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Frontiers | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.subject | Corrosion | en_US |
dc.subject | Bayesian filtering | en_US |
dc.subject | offshore wind turbines | en_US |
dc.subject | ultrasound | en_US |
dc.subject | prognosis | en_US |
dc.subject | diagnosis | en_US |
dc.title | Review of corrosion monitoring and prognostics in offshore wind turbine structures: Current status and feasible approaches | en_US |
dc.title.alternative | Review of corrosion monitoring and prognostics in offshore wind turbine structures: Current status and feasible approaches | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | © 2022 Brijder, Hagen, Cortés, Irizar, Thibbotuwa, Helsen, Vásquez and Ompusunggu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. | en_US |
dc.source.pagenumber | 1-22 | en_US |
dc.source.volume | 10 | en_US |
dc.source.journal | Frontiers in Energy Research | en_US |
dc.identifier.doi | 10.3389/fenrg.2022.991343 | |
dc.identifier.cristin | 2082053 | |
dc.relation.project | EC/H2020/851207 | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |