Operational Modal Analysis and Wavelet Transformation for Damage Identification in Wind Turbine Blades

Martin Dalgaard Ulriksen, Dmitri Tcherniak, Poul Henning Kirkegaard, Lars Damkilde

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

12 Citationer (Scopus)

Resumé

This study demonstrates an application of a previously proposed modal and wavelet analysis-based damage identification method to a wind turbine blade. A trailing edge debonding was introduced to an SSP 34-m blade mounted on a test rig. Operational modal analysis was conducted to obtain mode shapes for undamaged and damaged states of the blade. Subsequently, the mode shapes were analyzed with one-dimensional continuous wavelet transformations for damage identification. The basic idea of the method is that structural damage will introduce local mode shape irregularities which are captured in the continuous wavelet transformation by significantly magnified transform coefficients, thus providing combined damage detection, localization, and size assessment. It was found that due to the nature of the proposed method, the value of the identification results highly depends on the number of employed measurement points. Since a limited number of measurement points were utilized in the experiments, only certain damage-sensitive modes, in which pronounced damage-induced mode shape changes occur, are applicable for valid identification of the damage.
OriginalsprogEngelsk
Artikelnummer1475921715586623
TidsskriftStructural Health Monitoring
Vol/bind15
Udgave nummer4, Special Issue
Sider (fra-til)381-388
Antal sider8
ISSN1475-9217
DOI
StatusUdgivet - 2016
Begivenhed7th European Workshop on Structural Health Monitoring - Nantes, Frankrig
Varighed: 8 jul. 201411 jul. 2014
Konferencens nummer: 7

Konference

Konference7th European Workshop on Structural Health Monitoring
Nummer7
LandFrankrig
ByNantes
Periode08/07/201411/07/2014

Fingerprint

Wavelet Analysis
Modal analysis
Wind turbines
Turbomachine blades
Damage detection
Wavelet analysis
Debonding
Experiments

Emneord

  • Wind turbine blades
  • Structural health monitoring
  • Debonding
  • Wavelet transformation
  • Operational modal analysis

Citer dette

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title = "Operational Modal Analysis and Wavelet Transformation for Damage Identification in Wind Turbine Blades",
abstract = "This study demonstrates an application of a previously proposed modal and wavelet analysis-based damage identification method to a wind turbine blade. A trailing edge debonding was introduced to an SSP 34-m blade mounted on a test rig. Operational modal analysis was conducted to obtain mode shapes for undamaged and damaged states of the blade. Subsequently, the mode shapes were analyzed with one-dimensional continuous wavelet transformations for damage identification. The basic idea of the method is that structural damage will introduce local mode shape irregularities which are captured in the continuous wavelet transformation by significantly magnified transform coefficients, thus providing combined damage detection, localization, and size assessment. It was found that due to the nature of the proposed method, the value of the identification results highly depends on the number of employed measurement points. Since a limited number of measurement points were utilized in the experiments, only certain damage-sensitive modes, in which pronounced damage-induced mode shape changes occur, are applicable for valid identification of the damage.",
keywords = "Wind turbine blades, Structural health monitoring, Debonding, Wavelet transformation, Operational modal analysis, Wind turbine blades, Structural health monitoring, Debonding, Wavelet transformation, Operational modal analysis",
author = "Ulriksen, {Martin Dalgaard} and Dmitri Tcherniak and Kirkegaard, {Poul Henning} and Lars Damkilde",
year = "2016",
doi = "10.1177/1475921715586623",
language = "English",
volume = "15",
pages = "381--388",
journal = "Structural Health Monitoring",
issn = "1475-9217",
publisher = "SAGE Publications",
number = "4, Special Issue",

}

Operational Modal Analysis and Wavelet Transformation for Damage Identification in Wind Turbine Blades. / Ulriksen, Martin Dalgaard; Tcherniak, Dmitri; Kirkegaard, Poul Henning; Damkilde, Lars.

I: Structural Health Monitoring, Bind 15, Nr. 4, Special Issue, 1475921715586623, 2016, s. 381-388.

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

TY - GEN

T1 - Operational Modal Analysis and Wavelet Transformation for Damage Identification in Wind Turbine Blades

AU - Ulriksen, Martin Dalgaard

AU - Tcherniak, Dmitri

AU - Kirkegaard, Poul Henning

AU - Damkilde, Lars

PY - 2016

Y1 - 2016

N2 - This study demonstrates an application of a previously proposed modal and wavelet analysis-based damage identification method to a wind turbine blade. A trailing edge debonding was introduced to an SSP 34-m blade mounted on a test rig. Operational modal analysis was conducted to obtain mode shapes for undamaged and damaged states of the blade. Subsequently, the mode shapes were analyzed with one-dimensional continuous wavelet transformations for damage identification. The basic idea of the method is that structural damage will introduce local mode shape irregularities which are captured in the continuous wavelet transformation by significantly magnified transform coefficients, thus providing combined damage detection, localization, and size assessment. It was found that due to the nature of the proposed method, the value of the identification results highly depends on the number of employed measurement points. Since a limited number of measurement points were utilized in the experiments, only certain damage-sensitive modes, in which pronounced damage-induced mode shape changes occur, are applicable for valid identification of the damage.

AB - This study demonstrates an application of a previously proposed modal and wavelet analysis-based damage identification method to a wind turbine blade. A trailing edge debonding was introduced to an SSP 34-m blade mounted on a test rig. Operational modal analysis was conducted to obtain mode shapes for undamaged and damaged states of the blade. Subsequently, the mode shapes were analyzed with one-dimensional continuous wavelet transformations for damage identification. The basic idea of the method is that structural damage will introduce local mode shape irregularities which are captured in the continuous wavelet transformation by significantly magnified transform coefficients, thus providing combined damage detection, localization, and size assessment. It was found that due to the nature of the proposed method, the value of the identification results highly depends on the number of employed measurement points. Since a limited number of measurement points were utilized in the experiments, only certain damage-sensitive modes, in which pronounced damage-induced mode shape changes occur, are applicable for valid identification of the damage.

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KW - Wavelet transformation

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