A novelty detection technique for machine condition monitoring using S. O. M

Bibliographic Details
Main Author: M. L. Dennis
Format: Article
Language:English
Published: 2008
Online Access:http://journalarticle.ukm.my/2579/
http://journalarticle.ukm.my/2579/1/2008-16.pdf
_version_ 1848809913422184448
author M. L. Dennis,
author_facet M. L. Dennis,
author_sort M. L. Dennis,
building UKM Institutional Repository
collection Online Access
first_indexed 2025-11-14T23:22:10Z
format Article
id oai:generic.eprints.org:2579
institution Universiti Kebangasaan Malaysia
institution_category Local University
language English
last_indexed 2025-11-14T23:22:10Z
publishDate 2008
recordtype eprints
repository_type Digital Repository
spelling oai:generic.eprints.org:25792016-12-14T06:32:02Z http://journalarticle.ukm.my/2579/ A novelty detection technique for machine condition monitoring using S. O. M M. L. Dennis, 2008 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/2579/1/2008-16.pdf M. L. Dennis, (2008) A novelty detection technique for machine condition monitoring using S. O. M. Jurnal Kejuruteraan, 20 . pp. 175-182. http://www.ukm.my/jkukm/index.php/jkukm
spellingShingle M. L. Dennis,
A novelty detection technique for machine condition monitoring using S. O. M
title A novelty detection technique for machine condition monitoring using S. O. M
title_full A novelty detection technique for machine condition monitoring using S. O. M
title_fullStr A novelty detection technique for machine condition monitoring using S. O. M
title_full_unstemmed A novelty detection technique for machine condition monitoring using S. O. M
title_short A novelty detection technique for machine condition monitoring using S. O. M
title_sort novelty detection technique for machine condition monitoring using s. o. m
url http://journalarticle.ukm.my/2579/
http://journalarticle.ukm.my/2579/
http://journalarticle.ukm.my/2579/1/2008-16.pdf