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AI Identifies Defects in Turbine Blades
Source: The Engineer
Computer scientists at Loughborough University have developed a new tool that uses AI to analyse images of wind turbine blades to locate and highlight defects.

The system has been ‘trained’ to classify defects by type such as crack, erosion, void, and ‘other’ which could lead to faster and more targeted responses.

Current methods of inspection require engineers to carry out manual examinations, which entails capturing a large number of high-resolution images. These inspections are time-consuming, impacted by light conditions and can be hazardous.

Read the full article at The Engineer.

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