Please use this identifier to cite or link to this item:
|Title:||Bearing failure detection using matching pursuit||Authors:||Liu, B.
Rolling element bearing
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Nov 21, 2019
WEB OF SCIENCETM
checked on Nov 13, 2019
checked on Nov 8, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.