Computer System & Method for Predicting an Abnormal Event at a Wind Turbine in a Cluster

A computing system configured to perform data analytics for a plurality of wind turbines, the computing system comprising:

• a network interface configured to facilitate communications over a communication network with one or more wind-turbine data sources;
• at least one processor;
• a non-transitory computer-readable medium;
• and
• program instructions stored on the non-transitory computer-readable medium that are executable by the at least one processor to cause the computing system to:
• for each given wind turbine of the plurality of wind turbines, define a predictive model related to the operation of the given wind turbine, wherein defining the predictive model comprises:
• identifying a historical-time-varying wind-turbine cluster that the given wind turbine was a member of during a period of time in the past, wherein the historical-time-varying wind-turbine cluster comprises a plurality of past-active wind turbines that were active during at least a portion of the period of time;
• and
• based at least on (i) historical operating data for each of the plurality of past-active wind turbines and (ii) historical operating data for the given wind turbine, defining the predictive model related to the operation of the given wind turbine;
• for each given wind turbine of the plurality of wind turbines, execute the predictive model related to the operation of the given wind turbine, wherein executing the predictive model comprises:
• identifying a wind-turbine cluster that the given wind turbine is a member of, wherein the wind-turbine cluster comprises a plurality of active wind turbines including the given wind turbine;
• based at least on (i) recent operating data for at least one of the plurality of active wind turbines other than the given wind turbine and (ii) recent operating data for the given wind turbine, executing the predictive model to output a prediction related to the operation of the given wind turbine;
• and
• causing a graphical user interface that is communicatively coupled to the computing system to display a representation of the output of the executed predictive model.

A method performed by a computing system configured to perform data analytics for a plurality of wind turbines, the method comprising:

• for each given wind turbine of a plurality of wind turbines, defining a predictive model related to the operation of the given wind turbine, wherein defining the predictive model comprises:
• identifying a historical-time-varying wind-turbine cluster that the given wind turbine was a member of during a period of time in the past, wherein the historical-time-varying wind-turbine cluster comprises a plurality of past-active wind turbines that were active during at least a portion of the period of time;
• and
• based at least on (i) historical operating data for each of the plurality of past-active wind turbines and (ii) historical operating data for the given wind turbine, defining the predictive model related to the operation of the given wind turbine;
• for each given wind turbine of the plurality of wind turbines, executing the predictive model related to the operation of the given wind turbine, wherein executing the predictive model comprises:
• identifying a wind-turbine cluster that the given wind turbine is a member of, wherein the wind-turbine cluster comprises a plurality of active wind turbines including the given wind turbine;
• based at least on (i) recent operating data for at least one of the plurality of active wind turbines other than the given wind turbine and (ii) recent operating data for the given wind turbine, executing the predictive model to output a prediction related to the operation of the given wind turbine;
• and
• causing a graphical user interface that is communicatively coupled to the computing system to display a representation of the output of the executed predictive model.