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AI-Based System Inspects Defects in Wind Turbine Blades More Accurately
Written by AZoRoboticsApr 1 2021
While the demand for wind power has increased considerably, the accompanying need to assess wind turbine blades and recognize flaws may have an impact on their operational efficiency.
Crack detection using the AI tool. Image Credit: Loughborough University.
From ultrasound to visual thermography, a broad range of blade inspection methods have been tested, but these techniques have demonstrated certain limitations.
There are many inspection procedures that still need engineers to perform manual examinations in which a vast number of high resolution images are captured. Such analyses consume time and are affected by light conditions, and added to this, they are also dangerous.