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Wind Turbine Blade Damage Detection Using Supervised Machine Learning Algorithms
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Wind turbine blades undergo high operational loads, experience variable environmental conditions, and are susceptible to failure due to defects, fatigue, and weather-induced damage. These large-scale composite structures ...
A Global Analysis of Land Surface Temperature Diurnal Cycle Using MODIS Observations
Publisher: American Meteorological Society
Abstract: AbstractDiurnal variations of land surface temperature (LST) play a vital role in a wide range of applications such as climate change assessment, land?atmosphere interactions, and heat-related health issues in urban regions. ...
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