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PCA method based on residues analysis has been established and applied on wind energy conversion system based on doubly fed induction generator diagnosis. An accurate analytical model of the machine has been proposed and simulated to perform the healthy and faulted data for PCA approach need. Several representations of the state variables of the machine have been analyzed. All representations in both cases without and with mathematical transformations. and without PCA method. do not provide significant information in the presence of faults. Indeed. PCA method application shows clearly the presence of faults. This approach is interesting for all type of representation compared to some other signal processing types. Simulation results show the detection efficiency but require a good choice of the principal components number.
