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Rescuing wind turbine blades and uptime

Electricity and grid systems cohort

Team: Aoife Henry (Accelerator Postdoctoral Fellow), Gianluca Laccarino

Wind turbines in the water. (Image credit: Pablomaxim via Pixabay)

Zentus Inc. is building data infrastructure and machine learning algorithms to support wind fleet performance engineers. The goal is to help them predict and prevent catastrophic failures in blades and optimize inspection and repair activities by extracting trends across the fleet, identifying high-risk assets, and forecasting defect development.