Diagnosis and Isolation Methodology for Faults Detection in the Pitch Angle Sensors of a Wind Power System

Wind energy plays a major role in the production of electrical energy in the industrial world. Like any industrial system, the wind turbine can be threatened by anomalies likely to affect its performance or even cause a total shutdown of the installation. Therefore, fault diagnosis methods are necessary. In this work, in order to avoid the occurrence of a malfunction, either to avoid them or to limit their consequences, we used a model-based fault diagnosis technique to detect and isolate sensor faults and actuators in pitch angle systems. To do this, we used an observer applied to a “Benchmark” model for fault detection and isolation (FDI). Simulation results under the MATLAB/Simulink environment are presented to validate the effectiveness of this diagnostic method.