Take a modern approach to understanding wind turbine health with Predict, an artificial intelligence tool to improve your maintenance strategy.
Accuracy in fault detection
Months in advance of component failures
Days maximum installation time
Reduction of lost production due to forced outages
Predict is a system of artificial neural network models that have been rigorously trained to learn from SCADA data and identify impending turbine faults at an early stage—before they cause serious harm.
Make the transition from reactive to proactive turbine maintenance, with fault detection up to 9 months in advance.
Plan necessary maintenance for the optimal time frame to ensure turbines are performing their best.
Reduce wear and tear on components by reducing high stress operating conditions.
Get ahead of problems by resolving small issues before they turn into expensive system failures or lead to secondary faults.
Check out the webinar by Greenbyte’s Head of Research, Dr. Pramod Bangalore, to explore the full scope of Predict.Watch the webinar
The science behind Predict is a story to be told. Check out the articles below for a look back at how the feature was built and tirelessly perfected, plus a glance at the road ahead!