Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0963-8695(01)00063-9
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dc.titleBearing failure detection using matching pursuit
dc.contributor.authorLiu, B.
dc.contributor.authorLing, S.F.
dc.contributor.authorGribonval, R.
dc.date.accessioned2014-11-28T06:49:44Z
dc.date.available2014-11-28T06:49:44Z
dc.date.issued2002-06
dc.identifier.citationLiu, 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
dc.identifier.issn09638695
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/112689
dc.description.abstractIn 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/S0963-8695(01)00063-9
dc.sourceScopus
dc.subjectFault diagnosis
dc.subjectMatching pursuit
dc.subjectRolling element bearing
dc.subjectVibration
dc.subjectWavelet
dc.typeArticle
dc.contributor.departmentDATA STORAGE INSTITUTE
dc.description.doi10.1016/S0963-8695(01)00063-9
dc.description.sourcetitleNDT and E International
dc.description.volume35
dc.description.issue4
dc.description.page255-262
dc.description.codenNDTIE
dc.identifier.isiut000173599500007
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