GE Vernova
Digital Blade Certificate AI inspection of wind-turbine blades
GE Vernova used crawler imagery and AI to flag wind-turbine blade defects for technicians
Problem
Manual blade inspection required technicians to enter blades and examine extensive imagery. Some internal areas were inaccessible to human inspectors, and reviewing images demanded sustained concentration.
Approach
GE Vernova teams in Bengaluru and Niskayuna developed the Digital Blade Certificate inspection process. Crawlers captured images inside blades, and an AI model flagged potential defects. Human technicians reviewed the areas identified as most critical.
Results
No published figures
Takeaway
Crawlers extended inspection coverage into inaccessible areas, while the model directed technicians toward suspect imagery. GE Vernova did not disclose a measured time saving for this deployment.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer visionRobotics and automation
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
GE Vernova described operational blade inspections using crawlers and AI-based image review. It said the model flagged suspected defects for technicians and that the inspection team received an internal technology award in 2024.
Full details are in the original sources.