DocumentCode
2796107
Title
Gear fault diagnosis of wind turbine generator system based on lifting wavelet- zooming envelope analysis
Author
Sheng, Xiaoling ; Wan, Shuting ; Tian, Fengqi
Author_Institution
Dept. of Mech. Eng., North China Electr. Power Univ., Baoding, China
fYear
2011
fDate
15-17 July 2011
Firstpage
1332
Lastpage
1335
Abstract
Aiming at the gearbox fault characteristic of wind turbine generator system, a new synthetical diagnosis method is put forward. In this method, the signal firstly is transformed using lifting wavelet, and the transformation result is analyzed by using FFT, FFT-FS zooming and envelope spectrum. At last, the vibration signals on an experiment platform are tested using this method. The result shows that the method is more effective than traditional methods.
Keywords
fast Fourier transforms; fault diagnosis; gears; vibrations; wavelet transforms; wind turbines; FFT-FS zooming; envelope spectrum; fast Fourier transform; gear fault diagnosis; lifting wavelet-zooming envelope analysis; synthetical diagnosis method; vibration signal; wind turbine generator system; Demodulation; Fault diagnosis; Frequency modulation; Gears; Vibrations; Wavelet transforms; Wind turbines; fault diagnosis; gear; lifting wavelet; wind turbine;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location
Hohhot
Print_ISBN
978-1-4244-9436-1
Type
conf
DOI
10.1109/MACE.2011.5987189
Filename
5987189
Link To Document