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Windtech International July August 2024 issue

 

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AI enabled wind blade damage detectionSulzer Schmid and Nnaisense have partnered to develop an artificial intelligence engine to automatically detect rotor blade damages on wind turbine. The two partners are aiming to build an Artificial Intelligence engine able to recognize damages based on inspection image material.
 
The initial version will be able to flag all areas of concern on any given damaged blade. Ensuing upgrades will add other capabilities such as the ability to establish damage categories and severity levels.
 
The autonomously flying drones of the 3DX Inspection Platform of Sulzer Schmid will be used for image acquisition with a 100% blade coverage. With the support of an AI-enabled inspection software, the review work of blade experts will be greatly facilitated. Instead of having to review the entire surface of the blades, they will simply need to focus on the pre-selected areas of concern.
 
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