DocumentCode :
3573675
Title :
Gearbox Fault Diagnosis Based on Wavelet-AR Model
Author :
Zhou, Gui-hong ; Zuo, Chun-Cheng ; Wang, Jia-zhong ; Liu, Shu-xia
Author_Institution :
Jilin Univ., Changchun
Volume :
2
fYear :
2007
Firstpage :
1061
Lastpage :
1065
Abstract :
A fault diagnosis technique for gearbox that uses a wavelet-AR model spectrum estimation method is presented in this paper. In the experimental work, the wavelet transform was used for original signal decomposition and de-noising to obtain fault signals, and the fault type was confirmed using AR model spectrum estimation method for gearbox fault signal diagnosis. The experimental results indicated that the proposed wavelet-AR model spectrum estimation method, compared with FFT algorithm, is effective in fault signal diagnosis for gearbox.
Keywords :
fault diagnosis; gears; vibrations; wavelet transforms; FFT algorithm; gearbox fault diagnosis; mechanical vibration signals; signal decomposition; wavelet transform; wavelet-AR model; Discrete wavelet transforms; Fault diagnosis; Frequency; Machine learning; Signal analysis; Signal processing; Signal processing algorithms; Spectral analysis; Wavelet analysis; Wavelet transforms; FFT algorithm; Fault diagnosis; Gearbox; Wavelet-AR model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
Type :
conf
DOI :
10.1109/ICMLC.2007.4370300
Filename :
4370300
Link To Document :
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