WIND TURBINE CONDITION MONITORING METHOD AND SYSTEM

摘要

The present application includes wind turbine condition monitoring method and system. The method comprises: acquiring historical SCADA data, and wind turbine reports corresponding to the historical SCADA data; training an overall model for overall diagnosing the wind turbine, and training different individual models for analyzing different components of the wind turbine based on the historical SCADA data and the corresponding wind turbine report, by establishing relationship between the historical SCADA data and the wind turbine report; acquiring real time SCADA data, inputting the real time SCADA data to the trained overall model, obtaining the health condition of the wind turbine from the trained overall model, and performing individual diagnosing step if the trained overall model determines wind turbine as defective status; inputting the real time SCADA data to the trained individual model corresponding to the defective component, and obtaining the fault details of the defective component from the trained individual model corresponding to the defective component.

主权项

1. A wind turbine condition monitoring method, comprising the following steps:
historical data acquiring step: acquiring historical SCADA data, and wind turbine reports corresponding to the historical SCADA data, wherein the historical SCADA data covers operation data of the wind turbine, and wherein the wind turbine reports covers: health condition of wind turbine diagnosed as normal or defective status, and defective component with corresponding fault details if health condition of wind turbine is diagnosed as defective status; model training step: training an overall model for overall diagnosing the wind turbine, and training different individual models for analyzing different components of the wind turbine based on the historical SCADA data and the corresponding turbine report, by establishing relationship between the historical SCADA data and the wind turbine report; overall diagnosing step: acquiring real time SCADA data, inputting the real time SCADA data to the trained overall model, obtaining the health condition of the wind turbine from the trained overall model, and performing individual diagnosing step if the trained overall model determines wind turbine as defective status; individual diagnosing step: inputting the real time SCADA data to the trained individual model corresponding to the defective component, and obtaining the fault details of the defective component from the trained individual model corresponding to the defective component.