The Faults Estimation Method of Wind Turbine Components by Optimization with $\ell_{0}$ norm Constraint

The accuracy of speed tracking gives a chance occurrence of faults on wind turbine components. A bias fault estimation in the WTG (Wind Turbine Generator) system is needed as a reference for maintenance schedules to reduce maintenance costs. This paper proposes the use of the method of faults estimation on WTG component. The proposed method with a single observer is built using optimization ℓ
₀
norm constraint derived by applying a compressed sensing technique with a simulation in MATLAB. This method answers the problem of observability that is found in the use of a single observer to estimate several faults with limited measurement variables. This paper gives the results of the numerical example of sensor components fault in wind turbines to demonstrate the effectiveness of the proposed method.