Innovative Detection Method Enhances Wind Turbine Blade Safety and Efficiency
A recent study published in ‘IEEE Access’ introduces a groundbreaking method for detecting defects in wind turbine blades, a critical component in renewable energy technology. Led by Zijian Fu from the College of Automation and Electrical Engineering
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