A wind turbine condition monitoring method was proposed based on SCADA data co-integration analysis. The co-integration residual obtained by the co-integration process of the SCADA data of the wind turbine was used for monitoring the operation state of the wind turbine. Taking the experimental data of a 1.5 MW doubly-fed wind generator under different environments and operating conditions from Jinjie Company in Baotou City, Inner Mongolia, the effectiveness of the proposed method was verified. A two-stage co-integration process was performed on multiple process parameters of the wind turbine, and the data trend had non-linear characteristics. The method was tested with known failure cases. The results show that this method can effectively monitor the running status of wind turbines.
ZHANG Chao, ZHAO Guanghan. Wind Turbine State Detection Based on SCADA Data Cointegration Analysis[J]. Machine Tool & Hydraulics,2022,50(12):17-21