DocumentCode
2778861
Title
Identification of the high SNR frequency band for bearing fault signature enhancement
Author
Bozchalooi, Soltani ; Liang, Ming
Author_Institution
Ottawa Univ., Ottawa
fYear
2007
fDate
4-6 Dec. 2007
Firstpage
39
Lastpage
43
Abstract
Enhancement of the vibration signals measured from faulty bearings is the major step towards a successful fault detection and diagnosis. Bandpass filtering has shown to be an effective de-noising approach. Though simple, this method requires prior knowledge of the dominant resonance frequencies excited by the fault impacts. In this paper an on-line resonance frequency estimation algorithm is presented. This approach exploits the effect of variable shaft rotational speed on the measured vibration and applies a reliable wavelet based instantaneous frequency calculation method to find the proper center frequency for the bandpass filter. The proposed algorithm is evaluated using the vibrations measured from a faulty bearing and further validated with the results obtained based on the bearing impact analysis.
Keywords
band-pass filters; fault diagnosis; impact (mechanical); machine bearings; resonance; vibrations; wavelet transforms; SNR frequency band; bandpass filtering; bearing impact; fault diagnosis; faulty bearing; machinery fault detection; online resonance frequency estimation; shaft rotational speed; vibration signal enhancement; wavelet analysis; wavelet based instantaneous frequency calculation; Band pass filters; Fault detection; Fault diagnosis; Filtering; Frequency estimation; Noise reduction; Resonance; Resonant frequency; Shafts; Vibration measurement; Adaptive Filtering; Machinery Fault Detection; Resonance Frequency Estimation; Wavelet Analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Machine Vision in Practice, 2007. M2VIP 2007. 14th International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4244-1358-4
Electronic_ISBN
978-1-4244-1358-4
Type
conf
DOI
10.1109/MMVIP.2007.4430711
Filename
4430711
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