Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0963-8695(01)00063-9
Title: Bearing failure detection using matching pursuit
Authors: Liu, B. 
Ling, S.F.
Gribonval, R.
Keywords: Fault diagnosis
Matching pursuit
Rolling element bearing
Vibration
Wavelet
Issue Date: Jun-2002
Citation: Liu, B., Ling, S.F., Gribonval, R. (2002-06). Bearing failure detection using matching pursuit. NDT and E International 35 (4) : 255-262. ScholarBank@NUS Repository. https://doi.org/10.1016/S0963-8695(01)00063-9
Abstract: In this paper, a new approach to the detection of localized defects of rolling element bearings is proposed. It employs matching pursuit with time-frequency atoms to analyze bearing vibration and extract vibration signatures. In particular, this approach utilizes not only the temporal and spectral but also the scale characteristics of the vibration generated due to the presence of a defect for the detection. This leads to a high signal-to-noise ratio and facilitates considerably the detection at the early stage of failure development. Experimental results show that the proposed approach is sensitive and reliable and works better than continuous wavelet transform and envelope detection. © 2001 Elsevier Science Ltd. All rights reserved.
Source Title: NDT and E International
URI: http://scholarbank.nus.edu.sg/handle/10635/112689
ISSN: 09638695
DOI: 10.1016/S0963-8695(01)00063-9
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