Abstract
In this study, a robust fault diagnosis scheme for V47/660 kW wind turbine is proposed. A comprehensive mathematical model for mechanical drive train and gearbox dynamic of V47/660 kW wind turbine operating in Manjil wind farm, Gilan province, Iran, is developed based on which the model-based Fault Detection and Isolation (FDI) scheme is designed. The proposed FDI scheme detects various critical and common sensor faults, actuator faults and components faults. A mixed Unknown Input-Proportional Integral Observer (UI-PIO) method and the parameter estimation method are used for fault detection and isolation. The robustness of the residuals to disturbances is also addressed. Simulation results using experimental data are presented to demonstrate the effectiveness of the proposed fault diagnosis system.
Published Version
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