Abstract: The present invention relates to non-thermal renewable energy turbines (20,24,34, 38,40), in particular to the monitoring of turbine performance to identify a loss of performance indicative of faults or component degradation. The method involves comparison of measured power from a target turbine (20) with a predicted value for same turbine. The predicted value is calculated using the output from a plurality of other turbines (24,34,38,40) from an array and a predictive model including weightings for the other turbines (24, 34,38,40) based on the strength of correlation of their historical with historical data from the target turbine (20).

Abstract: The method may include providing a plurality of historical data vectors, each historical data vector including a value for each of a plurality of empirical variables associated with an apparatus or process. The method may include providing a current data vector including a current value for each of the plurality of empirical variables. The method may include determining a plurality of distance values, each distance value being determined from the current data vector and a different one of the historical data vectors and identifying a minimum distance value from the determined plurality of distance values. The method may include using the identified minimum distance value to determine a condition of the apparatus or process.

Abstract: The method may include providing a plurality of historical data vectors, each historical data vector including a value for each of a plurality of empirical variables associated with an apparatus or process. The method may include providing a current data vector including a current value for each of the plurality of empirical variables. The method may include determining a plurality of distance values, each distance value being determined from the current data vector and a different one of the historical data vectors and identifying a minimum distance value from the determined plurality of distance values. The method may include using the identified minimum distance value to determine a condition of the apparatus or process.