Title :
DFIG-based wind turbine fault diagnosis using a specific discrete wavelet transform
Author :
Al-Ahmar, E. ; Benbouzid, M.E.H. ; Amirat, Y. ; Ben Elghali, S.E.
Author_Institution :
Lab. Brestois de Mec. et des Syst., Univ. of Brest IUT, Brest
Abstract :
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.
Keywords :
asynchronous generators; discrete wavelet transforms; fault diagnosis; power system transients; transients; wind turbines; DFIG-based wind turbine fault diagnosis; discrete wavelet transform; doubly-fed induction generator; power 1.1 kW; transient technique; wind energy conversion; Circuit faults; Condition monitoring; Costs; Discrete wavelet transforms; Electrical fault detection; Fault diagnosis; Induction generators; Wind energy; Wind energy generation; Wind turbines; Discrete Wavelet Transform (DWT); Doubly-Fed Induction Generator (DFIG); Wind turbine; fault diagnosis;
Conference_Titel :
Electrical Machines, 2008. ICEM 2008. 18th International Conference on
Conference_Location :
Vilamoura
Print_ISBN :
978-1-4244-1735-3
Electronic_ISBN :
978-1-4244-1736-0
DOI :
10.1109/ICELMACH.2008.4800033
