Wavelet Transformation for Damage Identication in Wind Turbine Blades

Martin Dalgaard Ulriksen, Jonas falk Skov, Poul Henning Kirkegaard, Lars Damkilde

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

Abstract

The present paper documents a proposed modal and wavelet analysis-based structural health monitoring (SHM) method for damage identification in wind turbine blades. A finite element (FE) model of a full-scale wind turbine blade is developed and introduced to a transverse surface crack. Hereby, post-damage mode shapes are derived through modal analysis and subsequently analyzed with continuous two-dimensional wavelet transformation for damage identification, namely detection, localization and assessment. It is found that valid damage identification is obtained even when utilizing the mode shape of the first structural blade mode. However, due to the nature of the proposed method, it is also found that the accuracy of the damage assessment highly depends on the number of employed measurement points.
Original languageEnglish
Title of host publicationStructural Health Monitoring : Proceedings of the 32nd IMAC, A Conference and Exposition on Structural Dynamics
EditorsAlfred Wicks
Number of pages8
Volume5
PublisherSpringer
Publication date2014
Pages187-193
ISBN (Print)978-3-319-04569-6
Publication statusPublished - 2014
EventIMAC 2014: A Conference and Exposition on Structural Dynamics - Orlando, Florida, United States
Duration: 3 Feb 20146 Feb 2014
Conference number: 32

Conference

ConferenceIMAC 2014
Number32
Country/TerritoryUnited States
CityOrlando, Florida
Period03/02/201406/02/2014
SeriesConference Proceedings of the Society for Experimental Mechanics Series
Number32
ISSN2191-5644

Keywords

  • Wind turbine blades
  • Structural health monitoring
  • Damage identication
  • Finite element modal analysis
  • Wavelet transformation

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