TY  - CONF
A1  - Stamm, Michael
T1  - The KI-VISIR Reference Dataset: A Compilation of Thermal and Visual Inspection Data for Quantifying Leading Edge Rain Erosion
N2  - This presentation introduces thermography (thermal imaging) as a key method for non-destructive testing (NDT) of wind turbine rotor blades. By leveraging solar heating and aerodynamic effects, passive thermography detects internal defects, delaminations, and surface issues like leading edge erosion. We discuss field measurements, the role of AI/Machine Learning (LATODA) for automated defect classification, and its importance for improving O&M efficiency and lifetime extension in the wind energy sector.
T2  - WindEurope Annual Event 2025
CY  - Copenhagen, Denmark
DA  - 08.04.2025
KW  - Thermography
KW  - Wind Turbine Blades
KW  - AI
KW  - NDT
KW  - KI-VISIR
PY  - 2025
AN  - OPUS4-64721
LA  - eng
AD  - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany
ER  -