2023
DOI: 10.1016/j.compind.2022.103806
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Requirements for the application of the Digital Twin Paradigm to offshore wind turbine structures for uncertain fatigue analysis

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Cited by 16 publications
(6 citation statements)
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“…Six requirements were outlined in [111] for implementing DT technology in the fatigue monitoring of bolted ring-flanges on OWT support structures, considering the broader context of the DT paradigm within the OWT industry. While each requirement Depending on the scheduled lifetime extension, one can store structural response data or environmental data, or both, with higher-quality data leading to more precise estimates.…”
Section: Further Discussionmentioning
confidence: 99%
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“…Six requirements were outlined in [111] for implementing DT technology in the fatigue monitoring of bolted ring-flanges on OWT support structures, considering the broader context of the DT paradigm within the OWT industry. While each requirement Depending on the scheduled lifetime extension, one can store structural response data or environmental data, or both, with higher-quality data leading to more precise estimates.…”
Section: Further Discussionmentioning
confidence: 99%
“…Six requirements were outlined in [111] for implementing DT technology in the fatigue monitoring of bolted ring-flanges on OWT support structures, considering the broader context of the DT paradigm within the OWT industry. While each requirement addresses specific needs in the OWT context, they may also have applicability to other industries.…”
Section: Further Discussionmentioning
confidence: 99%
“…In this paper, we present an open-source workflow to analyse bolted ring-flanges, including geometric imperfections. The workflow is available in a public GitHub repository [19], and is configurable to user needs. The workflow is targeted towards probabilistic assessment of bolted ring-flange fatigue under uncertainty within a Digital Twin context, as introduced in [20].…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, DT technology is widely recognised for its ability to effectively support the maintenance of complex systems. Studies show that DTs can be used for real-time monitoring, maintenance prediction, and decision support for maintenance activities [6]. Furthermore, DTs can be used for anomaly detection, as seen in studies like that of Calvo-Bascones et al [7].…”
Section: Introductionmentioning
confidence: 99%