Abstract: A method implemented using at least one processor module includes receiving turbine data of a wind turbine having s a plurality of persistent failure modes. The turbine data comprises installation data, operation data and historical data. The method also includes determining a plurality of damage values using a plurality of damage models based on the installation data and determining a plurality of correction values based on the operation data, and the historical data. The plurality of damage values are representative of severity of the plurality of persistent failure modes and the plurality of correction values are representative of severity of a plurality of sporadic failure modes. The method also includes determining a plurality of corrected damage values by modifying the plurality of damage values based on at least one of the plurality of correction values and determining a set point for the wind turbine based on the plurality of corrected damage values.

Abstract: The present disclosure relates to an approach by which low-performing turbines may be identified from among a plurality of wind turbines, such as may be present at a wind power plant. In accordance with one embodiment, low-performing turbines are identified from among pairs of turbines and based upon a comparison of the observed and expected performance of the turbines within each pair.

Abstract: The present disclosure relates to an approach by which low-performing turbines may be identified from among a plurality of wind turbines, such as may be present at a wind power plant. In accordance with one embodiment, low-performing turbines are identified from among pairs of turbines and based upon a comparison of the observed and expected performance of the turbines within each pair.