NDLI: Defect detection of wind turbine gearbox using demodulation analysis

Content Provider	IEEE Xplore Digital Library
Author	Wei Teng Qingfeng Gao Xin Wu Yibing Liu
Copyright Year	2011
Description	Author affiliation: School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing, China (Wei Teng; Qingfeng Gao; Xin Wu; Yibing Liu)
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.
Starting Page	4838
Ending Page	4841
File Size	425382
Page Count	4
File Format	PDF
ISBN	9781424494361
e-ISBN	9781424494392
DOI	10.1109/MACE.2011.5988096
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis Vibrations Hilbert Demodulation Fault Detection Cepstrum Wind turbines Acceleration Wind Turbine Gearbox Demodulation
Content Type	Text
Resource Type	Article

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