DocumentCode
2792669
Title
Advanced signal processing techniques for fault detection and diagnosis in a wind turbine induction generator drive train: A comparative study
Author
Ahmar, E. Al ; Choqueuse, V. ; Benbouzid, M.E.H. ; Amirat, Y. ; El Assad, J. ; Karam, R. ; Farah, S.
Author_Institution
Lab. Brestois de Mcanique et des Systmes (LBMS EA 4325), Univ. of Brest, Brest, France
fYear
2010
fDate
12-16 Sept. 2010
Firstpage
3576
Lastpage
3581
Abstract
This paper deals with the diagnosis of Wind Turbines based on generator current analysis. It provides a comparative study between traditional signal processing methods, such as periodograms, with more sophisticated approaches. Performances of these techniques are assessed through simulation experiments and compared for several types of fault, including air-gap eccentricities, broken rotor bars and bearing damages.
Keywords
asynchronous generators; fault location; signal processing; wind turbines; fault detection; fault diagnosis; generator current analysis; induction generator drive; signal processing; wind turbine; Bars; Monitoring; Rotors; Signal resolution; Spectrogram; Time frequency analysis; Wind turbines; failure diagnosis; motor current signature analysis; time-frequency signal processing methods; wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Energy Conversion Congress and Exposition (ECCE), 2010 IEEE
Conference_Location
Atlanta, GA
Print_ISBN
978-1-4244-5286-6
Electronic_ISBN
978-1-4244-5287-3
Type
conf
DOI
10.1109/ECCE.2010.5617707
Filename
5617707
Link To Document