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

fYear

2008

fDate

6-9 Sept. 2008

Firstpage

1

Lastpage

6

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICELMACH.2008.4800033

Filename

4800033