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https://ptsldigital.ukm.my/jspui/handle/123456789/584766Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | M.L. Dennis Wong | - |
| dc.date.accessioned | 2023-11-06T08:10:53Z | - |
| dc.date.available | 2023-11-06T08:10:53Z | - |
| dc.date.issued | 2008 | - |
| dc.identifier.issn | 0128-0198 | - |
| dc.identifier.other | ukmvital:10370 | - |
| dc.identifier.uri | https://ptsldigital.ukm.my//jspui/handle/123456789/584766 | - |
| dc.language.iso | en | - |
| dc.publisher | Penerbit UKM | - |
| dc.relation.haspart | Jurnal Kejuruteraan | - |
| dc.relation.uri | http://journalarticle.ukm.my,http://www.ukm.my/jkukm/index.php/jkukm/index | - |
| dc.subject | machine condition monitiring | - |
| dc.subject | neural network | - |
| dc.subject | novelty detection | - |
| dc.subject | unsupervised learning | - |
| dc.subject | vibration analysis | - |
| dc.title | A Novelty Detection Technique for Machine Condition Monitoring Using S.O.M | - |
| dc.type | Journal Article | - |
| dc.identifier.callno | Siri TA1.J81 | - |
| Appears in Collections: | UKM Journal Article / Artikel Jurnal UKM | |
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