Diagnostic des défauts à base d’observateur dans un système éolien

The wind energy participates strongly in the electric power production in the industrial world. As all industrial systems, the wind turbine can be threatened by anomalies that are likely to cause damages of its performances or even to provoke a total stop of the installation. Therefore the fault diagnosis methods are necessary. In this article, in order to anticipate the apparition of a dysfunction, either to avoid them, or to limit the consequences, we used a model-based fault diagnosis technique to detect and isolate sensor and actuator faults in the pitch systems of the wind turbine blades. It is about an observer applied on a "Benchmark’’ model for fault detection and isolation faults (FDI) in a wind turbine, the results of simulation by MATLAB / SIMULINK are presented to validate the efficiency of this diagnosis method.

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