SCADA data analytics for fault detection and diagnosis of wind turbines

Wind farms require advanced monitoring systems to increase the reliability of the turbines. A critical component is the gearbox of wind turbines because of its high failure cost and large downtime. Supervisory control and data acquisition and monitoring systems employed in wind turbines generate large amounts of data. This data set must be processed with advanced analytics to become useful information for the reliability of the turbine. The novelty of this paper is based on the adjustment of the wind speed curve versus gearbox temperatures for the analysis of the alarms produced in the gearbox, being the data from the supervisory control and data acquisition and monitoring systems.