DocumentCode
1681904
Title
Complex Morlet wavelet amplitude and phase map based bearing fault diagnosis
Author
Li, Hui
Author_Institution
Dept. of Electromech. Eng., Shijiazhuang Inst. of Railway Technol., Shijiazhuang, China
fYear
2010
Firstpage
6923
Lastpage
6926
Abstract
The continuous wavelet transform enables one to look at the evolution in the time scale joint representation plane. This advantage makes it very suitable for the detection of singularity generated by localized defects in mechanical system. The Fourier spectrum of complex Morlet wavelet is real, which the Fourier spectrum has no complex phase, the complex Morlet wavelet does not affect the phase of a signal in complex domain. This gives a desirable ability to detect the singularity characteristic of a signal precisely. In this study, the complex Morlet wavelet amplitude and phase map are used in conjunction to detect and diagnose the bearing fault. The complex Morlet wavelet amplitude and phase map are found to show distinctive signatures in the presence of bearing inner race or outer race damage. The experimental results show that the Morlet wavelet amplitude and phase map can extract the transients from strong noise signals and can effectively diagnose the faults of bearing.
Keywords
condition monitoring; fault diagnosis; machine bearings; signal processing; wavelet transforms; bearing fault diagnosis; bearing inner race damage; complex Morlet wavelet; continuous wavelet transform; outer race damage; phase map; singularity characteristic; Continuous wavelet transforms; Rolling bearings; Transient analysis; Vibrations; Wavelet analysis; Bearing; Complex Morlet wavelet; Continuous wavelet transform; Fault diagnosis;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location
Jinan
Print_ISBN
978-1-4244-6712-9
Type
conf
DOI
10.1109/WCICA.2010.5554232
Filename
5554232
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