Physics-based data analysis for wind turbine condition monitoring

Abstract

Abstract This article presents methodologies for improving wind turbine condition monitoring using physics-based data analysis techniques. The unique operating conditions of the wind turbine drivetrain are described, and the complex kinematics of the gearbox is analyzed in detail. The pros and cons of the current wind turbine condition monitoring system (CMS) are evaluated. To improve the wind turbine CMS capability, it is suggested to use linear models with unsteady excitations, instead of using nonlinear and nonstationary process models, when dealing the wind turbine dynamics response model. An analysis is undertaken of the damage excitation mechanisms cause for various components in a gearbox, especially for those associated with lower-speed shafts. Physics (mechanics)-based data analysis methods are presented for different component damage excitation mechanisms. Validation results, using the wind farm and manufacturing floor data, are reported.