DocumentCode
2648188
Title
Research on the demodulation method based on the wavelet analysis
Author
Cui, Ling-li ; Gao, Li-xin ; Wang, Guo-dong
Author_Institution
Beijing Univ. of Technol., Beijing
Volume
4
fYear
2007
fDate
2-4 Nov. 2007
Firstpage
1683
Lastpage
1687
Abstract
Based on wavelet analysis method and Hilbert envelop demodulation, a method for the fault diagnosis of rolling bearings is proposed in this paper. The local Hilbert demodulation and local wavelet transform are introduced respectively. The wavelet transform is used to translate vibration signals into time-scale representation. Then, an envelope signal can be obtained by envelop spectrum analysis of wavelet coefficients of high scales from which the faults in a roller bearing could be diagnosed. Vibration signals measured from roller bearings test rig with outer race faults are analyzed by the proposed method. The results show that the proposed method can diagnose the faults in a roller bearing and fault patterns can be identified.
Keywords
Hilbert transforms; computerised monitoring; condition monitoring; demodulation; fault diagnosis; mechanical engineering computing; production engineering computing; rolling bearings; vibrations; wavelet transforms; Hilbert envelop demodulation; fault diagnosis; fault patterns; rolling bearings; time-scale representation; vibration signals; wavelet analysis; Demodulation; Fault diagnosis; Frequency; Pattern analysis; Rolling bearings; Signal analysis; Signal processing; Vibrations; Wavelet analysis; Wavelet transforms; Envelope demodulation; Roller bearing; Wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-1065-1
Electronic_ISBN
978-1-4244-1066-8
Type
conf
DOI
10.1109/ICWAPR.2007.4421724
Filename
4421724
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