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.

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Olga Fink , David Flynn , Operations Systems Laboratory , University Of Glasgow , Measurement Technology , James Watt School Of Engineering , School Of Architecture , Elsevier Mechanical Systems , Signal Processing , Assistant Professor , Intelligent Maintenance , Environmental Engineering , Civil Engineering , Operations Systems , James Watt School , Artificial Intelligence , Frequency Modulated Continuous Wave , Study Lead Author ,