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Data from: Wind turbine blade shear web disbond detection using rotor blade operational sensing and data analysis

Citation

Myrent, Noah J.; Adams, Douglas E.; Griffith, D. Todd; Myrent, N. (2015), Data from: Wind turbine blade shear web disbond detection using rotor blade operational sensing and data analysis, Dryad, Dataset, https://doi.org/10.5061/dryad.9c0k5

Abstract

A wind turbine blade's structural dynamic response is simulated and analysed with the goal of characterizing the presence and severity of a shear web disbond. Computer models of a 5 MW offshore utility-scale wind turbine were created to develop effective algorithms for detecting such damage. Through data analysis and with the use of blade measurements, a shear web disbond was quantified according to its length. An aerodynamic sensitivity study was conducted to ensure robustness of the detection algorithms. In all analyses, the blade's flap-wise acceleration and root-pitching moment were the clearest indicators of the presence and severity of a shear web disbond. A combination of blade and non-blade measurements was formulated into a final algorithm for the detection and quantification of the disbond. The probability of detection was 100% for the optimized wind speed ranges in laminar, 30% horizontal shear and 60% horizontal shear conditions.

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