Wind turbine rotor blade monitoring using digital image correlation: Assessment on a scaled model

Publikation: KonferenzbeitragPaperForschungPeer-Review

Autorschaft

  • Jan Winstroth
  • Joerg R. Seume
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Details

OriginalspracheEnglisch
PublikationsstatusVeröffentlicht - 2014
Veranstaltung32nd ASME Wind Energy Symposium - SciTech Forum and Exposition 2014 - National Harbor, MD, USA / Vereinigte Staaten
Dauer: 13 Jan. 201417 Jan. 2014

Konferenz

Konferenz32nd ASME Wind Energy Symposium - SciTech Forum and Exposition 2014
Land/GebietUSA / Vereinigte Staaten
OrtNational Harbor, MD
Zeitraum13 Jan. 201417 Jan. 2014

Abstract

Optical full-field measurement methods such as Digital Image Correlation (DIC) provide a new opportunity for measuring deformations and vibrations with high spatial and temporal resolution. However, application to full scale wind turbines is not trivial. In order to assess DIC performance with regard to wind turbines, a series of experiments is conducted and evaluated on a scaled model test bench. The experiments are divided into three groups: steady-state, dynamic without rotation, and dynamic with rotation. Each group adds another degree of complexity, making the analysis with DIC progressively more challenging. The results from the optical system are benchmarked against results from an analog dial gauge, a laser sensor, and a strain gauge. The purpose of these experiments is to demonstrate feasibility, assess accuracy, gain experience, and to identify possible perturbations before applying the proposed technique on a full scale wind turbine. The results demonstrate that it is possible to track the three-dimensional deformation of the rotor, with high accuracy, over several rotations.

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Wind turbine rotor blade monitoring using digital image correlation: Assessment on a scaled model. / Winstroth, Jan; Seume, Joerg R.
2014. Beitrag in 32nd ASME Wind Energy Symposium - SciTech Forum and Exposition 2014, National Harbor, MD, USA / Vereinigte Staaten.

Publikation: KonferenzbeitragPaperForschungPeer-Review

Winstroth, J & Seume, JR 2014, 'Wind turbine rotor blade monitoring using digital image correlation: Assessment on a scaled model', Beitrag in 32nd ASME Wind Energy Symposium - SciTech Forum and Exposition 2014, National Harbor, MD, USA / Vereinigte Staaten, 13 Jan. 2014 - 17 Jan. 2014.
Winstroth, J., & Seume, J. R. (2014). Wind turbine rotor blade monitoring using digital image correlation: Assessment on a scaled model. Beitrag in 32nd ASME Wind Energy Symposium - SciTech Forum and Exposition 2014, National Harbor, MD, USA / Vereinigte Staaten.
Winstroth J, Seume JR. Wind turbine rotor blade monitoring using digital image correlation: Assessment on a scaled model. 2014. Beitrag in 32nd ASME Wind Energy Symposium - SciTech Forum and Exposition 2014, National Harbor, MD, USA / Vereinigte Staaten.
Winstroth, Jan ; Seume, Joerg R. / Wind turbine rotor blade monitoring using digital image correlation : Assessment on a scaled model. Beitrag in 32nd ASME Wind Energy Symposium - SciTech Forum and Exposition 2014, National Harbor, MD, USA / Vereinigte Staaten.
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