DFIG-Based Wind Turbine Fault Diagnosis Using a Specific Discrete Wavelet Transform

Elie Al-Ahmar (1) , Mohamed Benbouzid (1) , Yassine Amirat (1) , Seifeddine Benelghali (1)

1 LBMS - Laboratoire brestois de mécanique et des systèmes

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.

Mots clés: Wind turbine; Doubly-Fed Induction Generator (DFIG); Discrete Wavelet Transform (DWT); fault diagnosis

Domaines: Energie électrique

Elie Al-Ahmar, Mohamed Benbouzid, Yassine Amirat, Seifeddine Benelghali. DFIG-Based Wind Turbine Fault Diagnosis Using a Specific Discrete Wavelet Transform. ICEM'08, Sep 2008, Vilamoura, Portugal. pp.ID 1434. ⟨hal-00531286⟩