Webinar: Identify wind turbine component failures before they occur with AI and Predict

This webinar was presented live on Thursday, March 7, 2019. Click below to watch it on demand. 

 

 

Predict, Greenbyte’s digital condition monitoring system, uses artificial neural network models that have been rigorously trained to learn from SCADA data and identify impending wind turbine component faults at an early stage. Predict alerts users of impending failures up to 9 months in advance and can reduce lost production due to forced outage up to 12%.

Dr. Pramod Bangalore, Head of Research at Greenbyte, will walk you through:

• How the artificial neural networks are trained to crunch SCADA data and achieve 94% accuracy in detecting failures in components
• How Predict enables you to act proactively to avoid failures, increase power output and ensure longevity of components
• The results of the Predict pilot studies as well as the financial and operational benefits for existing users

Sign up for the webinar and embark on a journey of data science, artificial intelligence and cutting-edge technology!

Featured Speakers:

Dr. Pramod Bangalore
Head of Research
Greenbyte

 

 

Patrick Strom
Senior Sales Manager
Greenbyte

 

 

Michelle Froese
Moderator
Windpower Engineering & Development

 

 

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