Dr. Ameen ElSinawi, Chair of the Engineering Department, published a paper on the 20th of September, 2019 on “Effect and Detection of Cracks on Small Wind Turbine Blade Vibration Using Special Kriging Analysis of Spectral Shifts”. This study developed a special Kriging model for predicting crack location using spectral shifts in the blade’s resonant peaks. Records of blade’s spectral shifts collected for known crack locations were used to construct the Kriging model. The model predicts crack location by correlating spectral shifts of cracked blade with spectral shifts recorded from blades with known crack locations. Experimental validation demonstrated the ability of the method to detect micro crack locations with an accuracy of 95%.
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