Model Order Selection for Uncertainty Quantification in Subspace-Based OMA of Vestas V27 Blade

S. Greś*, M. Döhler

*Corresponding author for this work

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Abstract

Although several uncertainty quantification algorithms have gained widespread use in applications, recent work suggests that the resultant uncertainty estimates are inaccurate when the model order of the dynamic system is misspecified. In practice, the choice of the model order is either based on heuristics, or it relies on procedures assessing the fit of the identified model to data, disregarding the statistical information content in the obtained estimates. In this paper we go back to the roots of the uncertainty propagation in subspace methods and revise it to account for the erroneously chosen model order. The performance of the proposed approach is illustrated on real data collected from a full-scale wind turbine blade.

Original languageEnglish
Title of host publicationExperimental Vibration Analysis for Civil Engineering Structures : EVACES 2023
EditorsMaria Pina Limongelli, Pier Francesco Giordano, Said Quqa, Carmelo Gentile, Alfredo Cigada
Number of pages10
Place of publicationCham
PublisherSpringer
Publication dateAug 2023
Pages43-52
ISBN (Print)978-3-031-39116-3
ISBN (Electronic)978-3-031-39117-0
DOIs
Publication statusPublished - Aug 2023
Externally publishedYes
EventExperimental Vibration Analysis for Civil Engineering Structures - EVACES 2023 - Volume 2 - Milan, Italy
Duration: 30 Aug 20231 Sept 2023

Conference

ConferenceExperimental Vibration Analysis for Civil Engineering Structures - EVACES 2023 - Volume 2
Country/TerritoryItaly
CityMilan
Period30/08/202301/09/2023
Series Lecture Notes in Civil Engineering
Volume433
ISSN2366-2557

Keywords

  • Operational Modal Analysis
  • Subspace methods
  • Uncertainty quantification
  • Wind turbine blades

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