Effective fault diagnosis method for the pitch system, the drive train, and the generator with converter in a wind turbine system

This paper aims to present an effective fault diagnosis method-based detection for sensors, actuators, and system faults in a wind turbine machine. The proposed detection method is based on physical and analytical redundancy of sensors and actuators to generate the appropriate residuals between all measured variables. In this work, a crisp logic technique is used as classifier to investigate the main parts of the process including actuator and sensor faults. Using this logical procedure, we can detect different faults in blade pitch positions, drive train, and generator with converter for a wind turbine system. The obtained simulation results show the ability of this diagnosis method to identify faults effectively in the principal sub-systems of the studied wind turbine.