INDEPENDENT BLADE EXPERTISE

Independent blade defect assessments and repair recommendations with predominant precision at great speed, enabling data driven blade maintenance with qualified repair recommendations.

Industry validated

"We are provided with more precise blade defect assessment material prior to the repair season, handed over to us through great customer service in a way where we were directed to relevant blade issues to prioritize. This enables us to challenge and alter our planned blade repair scope and organize our maintenance and repair execution much more effectively"


"The service has been completed to our full satisfaction. It is highly recommended to other wind farm investors all around the world"

“WPL delivered assessments in very high quality and to the specific client’s defect definition.”

“Wind Power LAB delivers state of the art blade condition reports. As a result SBT has partnered up with Wind Power LAB in a blade alliance”

“The reporting is directly applicable for taking informed Asset decisions, without the needed of a manual review.”

"One of the best AI capabilities available on the market at the moment"

Market leading offshore wind operator

Our Solution Get Started

About Wind Power LAB

USING A.I. TO KEEP WIND TURBINES RUNNING

Our Partners

 

 

 

 

 

Online Blade Expertise

✓ AVOID MOBILIZATION COST
✓ GET ACCESS TO BLADE EXPERTISE WHEN NEEDED
✓ ONLY REPAIR WHAT IS NEEDED WHEN IT IS NEEDED

Learn more about our Image to Advice services at www.imagetoadvice.com

Learn more about our Image to Advice services at www.imagetoadvice.com

automated blade defect detection with AI

Latest News

November, 2019

Meet us at Wind Europe in Copenhagen, November 26-28. Visit us in the Innovation-Park! Learn more

October, 2019
Meet us in Copenhagen, at the Subwiz event December 5th on applied AI solutions. Learn more

August, 2019
Job well done at Eneco offshore wind farm, Netherlands. Learn more

Presenting at Offshoreenergy.dk 2018

See you at the annual meeting in Offshoreenergy.dk. Here we will present how we use AI to identify wind turbine blade defects. We will also share the launch of an …