Boosting turbine performance with the help of AI

Boosting turbine performance with the help of AI

What's inside

  • Kavaken's predictive maintenance module forecasting a fault before a costly failure occurred
  • How the predictive maintenance module works

Boosting turbine performance with the help of AI

Wind Power Curve Analysis for a 1.3GW Asset Base

Kavaken has been engaged with an IPP with a large fleet of wind turbines to optimize wind farm operation and maintenance activities. The primary services include fault detection, diagnostics and prognostics, power curve analysis and production forecasting.

Download the customer story to find out how Kavaken’s algorithms automatically detected a bearing fault in the high-speed shaft of a Vestas V112 wind turbine gearbox.

Download link will be sent to your email

Can't find it in your inbox? Please check spam first; if it hasn't arrived, you can contact us here.

By submitting this form, I confirm that I agree to the collection and processing of personal data by Kavaken, as further described in the Privacy Policy.
Thank you for requesting the document. Please go to your inbox to find the download link.
Oops! Something went wrong while submitting the form. Please try again...
Text Link