DocumentCode :
550708
Title :
Cepstrum analysis of vibration signals of wind turbine gearbox
Author :
Teng Wei ; Wu Xin ; Gao Qingfeng ; Liu Yibing
Author_Institution :
Sch. of Energy Power & Mech. Eng., North China Electr. Power Univ., Beijing, China
fYear :
2011
fDate :
22-24 July 2011
Firstpage :
4237
Lastpage :
4240
Abstract :
The vibration signals of wind turbine gearbox contain various running status information, the analysis to which is a general method to detect the defection in gearbox. In this paper, we introduce the gearbox of wind turbine Micon 750kW, and analyze the characteristic of gearbox structure and the corresponding vibration signals. The advantage of cepstrum extracting the sideband modulation frequencies from complicated aliasing signals is studied, and the gearbox vibration signals are analyzed using cepstrum to extract the rotational frequency which disappears in power-density spectrum. The analysis results demonstrate that the cepstrum can detect the fault characteristic effectively in wind turbine gearbox.
Keywords :
cepstral analysis; fault diagnosis; gears; mechanical engineering computing; vibrations; wind turbines; aliasing signal; cepstrum analysis; defect detection; fault detection; power 750 kW; power-density spectrum; rotational frequency; running status information; sideband modulation frequency; vibration signal; wind turbine gearbox; Amplitude modulation; Cepstrum; Electronic mail; Frequency modulation; Mechanical systems; Vibrations; Wind turbines; Cepstrum; Vibration Signals; Wind Turbine Gearbox;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
ISSN :
1934-1768
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
Type :
conf
Filename :
6001047
Link To Document :
بازگشت