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 :
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