Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/18860
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dc.contributor.authorAhmed, HOA-
dc.contributor.authorDennis Wong, ML-
dc.contributor.authorNandi, AK-
dc.date.accessioned2019-07-25T11:18:48Z-
dc.date.available2017-12-15-
dc.date.available2019-07-25T11:18:48Z-
dc.date.issued2017-
dc.identifier.citationProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, 2017, 2017-January pp. 8053 - 8058en_US
dc.identifier.issnhttp://dx.doi.org/10.1109/IECON.2017.8217413-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/18860-
dc.description.sponsorshipNational Science Foundation of China grant number 61520106006 and the National Science Foundation of Shanghai grant number 16JC1401300.en_US
dc.format.extent8053 - 8058-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.sourceProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society-
dc.sourceProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society-
dc.subjectLaplace equationsen_US
dc.subjectSupport vector machinesen_US
dc.subjectCondition monitoringen_US
dc.subjectCompressed sensingen_US
dc.subjectFeature extractionen_US
dc.titleClassification of bearing faults combining compressive sampling, laplacian score, and support vector machineen_US
dc.typeConference Paperen_US
dc.identifier.doihttp://dx.doi.org/10.1109/IECON.2017.8217413-
dc.relation.isPartOfProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society-
pubs.publication-statusPublished-
pubs.volume2017-January-
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