Abstarct: Given the limited fossil fuels and the growing need for energy in the world, the requirement to use renewable energies has become more apparent. In this regard, the use of wind energy due to the high capacity of the power plant, this type of renewable energy is considered. Due to the fact that wind turbines are installed in distant areas, a robust fault detection is one way to increase their reliability and reduce maintenance costs. In this research, the robust fault detection and identification of wind turbines has been investigated using the µ-synthesis method. Real systems always include uncertainties¬ that these uncertainties can be due to uncertainty in the presence of disturbances. The system, however, has the necessary flexibility to function properly for uncertainties. In this research, a robust method was used to design a fault detection system using μ synthesis. To demonstrate the efficiency of this method, the difference between system outputs and output of the model which is the residual signal, using the simulation to ensure that the system continues to work. The main objective is to provide a Fault Detection and Isolation System (FDI) in a robust method using μ synthesis in such a way as to maximize the effect of the fault on the model to detect the fault by the residual signal and the system robust to the turbulence to survive. Finally, the results of this method are compared with other methods, such as H_∞. A robust method using μ synthesis is one of the methods that ensures system performance in the presence of disturbances and various uncertainties.