DocumentCode
2139185
Title
Bearings Fault Detection and Diagnosis Using Envelope Spectrum of Laplace Wavelet Transform
Author
Li, Hui ; Fu, Lihui ; Zheng, Haiqi
Author_Institution
Dept. of Electromech. Eng., Shijiazhuang Inst. of Railway Technol., Shijiazhuang, China
fYear
2009
fDate
17-19 Oct. 2009
Firstpage
1
Lastpage
5
Abstract
Envelope spectrum analysis is widely used to detection bearing localized fault. In order to overcome the shortcomings in the traditional envelope analysis in which manually specifying a resonant frequency band is required, a new approach based on the fusion of the Laplace wavelet transform and envelope spectrum is proposed for detection and diagnosis defects in rolling element bearings. This approach is capable of completely extracting the characteristic fault frequencies related to the defect. Experiment results show that the proposed approach is sensitive and reliable in detecting defects on the inner race and outer race of bearings.
Keywords
Laplace transforms; fault diagnosis; magnetic resonance; rolling bearings; spectral analysis; vibrations; wavelet transforms; Laplace wavelet transform; defect detection; defect diagnosis; envelope spectrum analysis; fault detection; fault diagnosis; fault frequency; resonant frequency band; rolling element bearings; vibration; Ball bearings; Envelope detectors; Fault detection; Fault diagnosis; Resonance; Resonant frequency; Rolling bearings; Signal analysis; Wavelet analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-4129-7
Electronic_ISBN
978-1-4244-4131-0
Type
conf
DOI
10.1109/CISP.2009.5303485
Filename
5303485
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