Bambu Lab and Machine Learning enable wind turbine blade forecasting

Researchers from the University of Groningen have developed a low-cost, scalable method for detecting faults in wind turbine blades using 3D printed models, vibration analysis, and machine learning. The study demonstrates how scaled replicas of the NREL 5MW blade, fabricated with PLA, can be used to simulate damage scenarios and accurately classify structural faults using […]