Damage assessment for wind turbine blades based on a multivariate statistical approach

David Garcia Cava, Dmitri Tcherniak, Irina Trendafilova

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

13 Citations (Scopus)
44 Downloads (Pure)


This paper presents a vibration based structural health monitoring methodology for damage assessment on wind turbine blades made of composite laminates. Normally, wind turbine blades are manufactured by two half shells made by composite laminates which are glued together. This connection must be carefully controlled due to its high probability to disbond which might result in collapse of the whole structure. The delamination between both parts must be monitored not only for detection but also for localisation and severity determination. This investigation consists in a real time monitoring methodology which is based on singular spectrum analysis (SSA) for damage and delamination detection. SSA is able to decompose the vibratory response in a certain number of components based on their covariance distribution. These components, known as Principal Components (PCs), contain information about of the oscillatory patterns of the vibratory response. The PCs are used to create a new space where the data can be projected for better visualization and interpretation. The method suggested is applied herein for a wind turbine blade where the free-vibration responses were recorded and processed by the methodology. Damage for different scenarios viz diferent sizes and locations was introduced on the blade. The results demonstrate a clear damage detection and localization for all damage scenarios and for the different sizes.
Original languageEnglish
Title of host publicationJournal of Physics Conference Series
Subtitle of host publicationDAMAS 2015
Number of pages9
Publication statusPublished - 24 Aug 2015
Event11th International Conference on Damage Assessment of Structures - Ghent University, Ghent, Belgium
Duration: 24 Aug 201526 Aug 2015

Publication series

NameJournal of Physics: Conference Series
PublisherInstitute of Physics
ISSN (Print)1742-6596


Conference11th International Conference on Damage Assessment of Structures
Abbreviated titleDAMAS 2015


  • damage assessment
  • wind turbine blades
  • multivariate analysis


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