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DFIG-based wind turbine fault diagnosis using a specific discrete wavelet transform

This paper deals with the investigation of a specific transient technique suitable for electrical and mechanical fault diagnosis in a DFIG-based wind turbine. The investigated technique is a combination of the discrete wavelet transform, statistics and the energy. Experimental investigations carried out on a 1.1-kW induction generator based test bench show that the proposed technique can unambiguously diagnose faults under transient conditions.