Christopher Niezrecki
A significant amount of interest exists in performing wind turbine structural health monitoring, characterization, and evaluation. The presentation highlights some recent advances in optical sensing, acoustic methods, infrared, UAV sensing, and radar technologies that can be applied to characterize wind turbine structural health, structural dynamics, damage, and embedded defects. Non-contacting, full-field surface dynamic measurements are presented that leverage three-dimensional (3D) digital image correlation (DIC), point tracking (PT), and motion magnification methods. The approaches are able to obtain full-field geometry data, in three dimensions. Information about the change in geometry of an object over time can be found by comparing a sequence of images and virtual strain gages (or position sensors) can be applied over the entire visible surface of an object of interest. Non-contact structural dynamic information can be extracted. Results from the structural interrogation of acoustic monitoring, infrared sensing, and radar sensing are also presented on a variety of test objects. Several examples of various sensing technologies are presented on wind turbine rotors and blades. Additionally, some recent advances in wind energy research that originated within the National Science Foundation-Industry/University Cooperative Research Center for Wind Energy Science, Technology and Research (Windstar) will be presented.
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