Model-based Fault Detection and Isolation for V47/660kW wind turbine

In this paper, in order to increase the efficiency, to reduce cost and to prevent the failures of wind turbine, which leads to extensive break down, a fault diagnosis system is proposed for V47/660kW wind turbine operated in Manjil wind farm. According to the acquired data of Iran wind turbine industry, common faults of the wind turbine are identified and considered in Fault Detection and Isolation (FDI) system design. Various Faults in different types can be detected and isolated using the indicators of faults, namely residuals, that are derived based on Unknown Input Observer (UIO). Moreover, some thresholds are exploited to evaluate the produced residuals. Simulations are performed in Matlab/Simulink environment to demonstrate the effectiveness of the proposed method using actual parameters derived for turbine model.