The Research of Wind Turbine Fault Diagnoses Based on Data Mining

Wind turbine is the key equipments of the wind farm, the distribution area is wide, and the working condition is poor, in the event of failure, caused by the loss and consequences are incalculable. Therefore, in order to ensure the safe and stable operation, it is necessary to research the fault diagnosis for the wind turbine. As the wind turbine produces vast amounts of data in the daily monitoring process, these data imply a large number of potential rules, and meet the necessary conditions for data mining. So the authors can use data mining technology to diagnose potential faults. This paper introduces methods and process of data mining and the rough set technology in wind turbine fault diagnosis applications, finally an example is analyzed to verify.