Search
Now showing items 1-1 of 1
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 ...
CSV
RIS