NDLI: Identification of the high SNR frequency band for bearing fault signature enhancement

Content Provider	IEEE Xplore Digital Library
Author	Bozchalooi, I.S. Ming Liang
Copyright Year	2007
Description	Author affiliation: Ottawa Univ., Ottawa (Bozchalooi, I.S.; Ming Liang)
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.
Starting Page	39
Ending Page	43
File Size	833836
Page Count	5
File Format	PDF
ISBN	9781424413577
DOI	10.1109/MMVIP.2007.4430711
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Filtering Resonance Frequency Estimation Noise reduction Vibration measurement Frequency estimation Fault diagnosis Shafts Fault detection Wavelet Analysis Machinery Fault Detection Resonant frequency Band pass filters Resonance Adaptive Filtering
Content Type	Text
Resource Type	Article

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