A Novelty Detection Technique for Machine Condition Monitoring Using S.O.M

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dc.creatorM.L. Dennis Wong
dc.date2023-11-06T08:10:53Z
dc.date2023-11-06T08:10:53Z
dc.date2008
dc.date.accessioned2024-10-21T02:30:01Z
dc.date.available2024-10-21T02:30:01Z
dc.identifier0128-0198
dc.identifierukmvital:10370
dc.identifierhttps://ptsldigital.ukm.my//jspui/handle/123456789/584766
dc.identifierSiri TA1.J81
dc.identifier.urihttps://repoemc.ukm.my/handle/123456789/15407
dc.languageen
dc.publisherPenerbit UKM
dc.relationJurnal Kejuruteraan
dc.relationhttp://journalarticle.ukm.my,http://www.ukm.my/jkukm/index.php/jkukm/index
dc.subjectmachine condition monitiring
dc.subjectneural network
dc.subjectnovelty detection
dc.subjectunsupervised learning
dc.subjectvibration analysis
dc.titleA Novelty Detection Technique for Machine Condition Monitoring Using S.O.M
dc.typeJournal Article

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