Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/17625
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dc.contributor.authorAhmed, H-
dc.contributor.authorNandi, A-
dc.coverage.spatialChina-
dc.date.accessioned2019-03-07T12:46:58Z-
dc.date.available2019-01-04-
dc.date.available2019-03-07T12:46:58Z-
dc.date.issued2019-01-04-
dc.identifier.citationProceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018, 2019, pp. 285 - 291en_US
dc.identifier.issn2166-5656-
dc.identifier.issnhttp://dx.doi.org/10.1109/PHM-Chongqing.2018.00055-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/17625-
dc.format.extent285 - 291-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.source2018 Prognostics and System Health Management Conference-
dc.source2018 Prognostics and System Health Management Conference-
dc.source2018 Prognostics and System Health Management Conference-
dc.source2018 Prognostics and System Health Management Conference-
dc.subjectMachine Condition Monitoringen_US
dc.subjectCompressive Samplingen_US
dc.subjectDimensionality Reductionen_US
dc.subjectMulti-class Support Vector Machineen_US
dc.titleThree-Stage Method for Rotating Machine Health Condition Monitoring Using Vibration Signalsen_US
dc.typeConference Paperen_US
dc.identifier.doihttp://dx.doi.org/10.1109/PHM-Chongqing.2018.00055-
dc.relation.isPartOfProceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018-
pubs.finish-date2018-10-28-
pubs.finish-date2018-10-28-
pubs.finish-date2018-10-28-
pubs.finish-date2018-10-28-
pubs.publication-statusPublished-
pubs.start-date2018-10-26-
pubs.start-date2018-10-26-
pubs.start-date2018-10-26-
pubs.start-date2018-10-26-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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