Enhancing Wind Turbine Quality Assurance With AI Techniques
An international collaboration between EPFL and the University of Glasgow has developed an advanced machine-learning algorithm for effectively detecting concealed manufacturing defects in wind turbine composite blades, prior to their deployment.
Source: azorobotics.com