DocumentCode :
2813241
Title :
Defect detection of wind turbine gearbox using demodulation analysis
Author :
Teng, Wei ; Gao, Qingfeng ; Wu, Xin ; Liu, Yibing
Author_Institution :
Sch. of Energy Power & Mech. Eng., North China Electr. Power Univ., Beijing, China
fYear :
2011
fDate :
15-17 July 2011
Firstpage :
4838
Lastpage :
4841
Abstract :
Wind turbine gearbox is one of the high failure rate components in wind turbine system, and various signal processing methods for vibration signals of gearbox to detect fault has obtained good results. In this paper, the structure characteristic of wind turbine gearbox is analyzed and the principle of defection modulation of gearbox vibration signals is studied. The method of cepstrum and Hilbert demodulation are used to analyze some field gearbox vibration data, and the two methods are compared. We can conclude that both cepstrum and Hilbert demodulation can extract the defection modulation frequencies in sophistication gearbox vibration signals, and Hilbert demodulation can detect defection more accurately than cepstrum. The Hilbert demodulation can be served as a good method to extract the defection characteristic in wind turbine gearbox.
Keywords :
Hilbert transforms; demodulation; power generation faults; signal detection; vibrations; wind turbines; Hilbert demodulation; defection modulation extraction; defection modulation principle; demodulation analysis; fault detection; field gearbox vibration data analysis; high failure rate components; signal processing methods; sophistication gearbox vibration signals; wind turbine gearbox detection; Acceleration; Cepstrum; Demodulation; Fault diagnosis; Vibrations; Wind turbines; Fault Detection; Hilbert Demodulation; Wind Turbine Gearbox;
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.2011.5988096
Filename :
5988096
Link To Document :
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