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Infrared thermography of turbulence patterns of operational wind turbine rotor blades supported with high-resolution photography: KI-VISIR Dataset.
  • +5
  • Somsubhro Chaudhuri,
  • Michael Stamm,
  • Ivana Lapšanská,
  • Thibault Lançon,
  • Lars Osterbrink,
  • Thomas Driebe,
  • Daniel Hein,
  • René Harendt
Somsubhro Chaudhuri
Bundesanstalt fur Materialforschung und -prufung

Corresponding Author:[email protected]

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Michael Stamm
Bundesanstalt fur Materialforschung und -prufung
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Ivana Lapšanská
Bundesanstalt fur Materialforschung und -prufung
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Thibault Lançon
Bundesanstalt fur Materialforschung und -prufung
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Lars Osterbrink
LATODA (Adoxin UG
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Thomas Driebe
LATODA (Adoxin UG
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Daniel Hein
LATODA (Adoxin UG
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René Harendt
ROMOTIONCAMTM GmbH
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Abstract

not-yet-known not-yet-known not-yet-known unknown With increasing wind energy capacity and installation of wind turbines, new inspection techniques are being explored to examine wind turbine rotor blades, especially during operation. A common result of surface damage phenomena (such as leading-edge erosion) is the premature transition of laminar to turbulent flow on the surface of rotor blades. In the KI-VISIR (Künstliche Intelligenz Visuell und Infrarot Thermografie – Artificial Intelligence-Visual and Infrared Thermography) project, infrared thermography is used as an inspection tool to capture so-called thermal turbulence patterns (TTP) that result from such surface contamination or damage. To compliment the thermographic inspections, high-resolution photography is performed to visualise, in detail, the sites where these turbulence patterns initiate. A convolutional neural network (CNN) was developed and used to detect and localise the turbulence patterns. A unique dataset combining the thermograms and visual images of operational wind turbine rotor blades has been provided, along with the simplified annotations for the turbulence patterns. Additional tools are available to allow users to use the data requiring only basic Python programming skills.
23 Aug 2024Submitted to Wind Energy
23 Aug 2024Submission Checks Completed
23 Aug 2024Assigned to Editor
23 Aug 2024Review(s) Completed, Editorial Evaluation Pending
26 Aug 2024Reviewer(s) Assigned
06 Sep 2024Editorial Decision: Revise Minor
19 Sep 20241st Revision Received
23 Sep 2024Submission Checks Completed
23 Sep 2024Assigned to Editor
23 Sep 2024Review(s) Completed, Editorial Evaluation Pending
23 Sep 2024Reviewer(s) Assigned
09 Oct 2024Editorial Decision: Accept