Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/3566
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dc.contributor.authorMatić, Draganen_US
dc.contributor.authorKanović, Željkoen_US
dc.date.accessioned2019-09-23T10:28:34Z-
dc.date.available2019-09-23T10:28:34Z-
dc.date.issued2017-01-01-
dc.identifier.issn15827445en_US
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/3566-
dc.description.abstractA new method for broken bar detection, based on vibration signal analysis, is presented in this paper. While there are several methods for broken bar detection at low slip based on the current signal analysis, detection based on vibration signals attracts much less attention. In the current paper, detection of the broken bar was conducted by observing fault frequency content of the modulus of the analytical vibration signal. A broken bar feature is extracted from low frequency range even for low slip conditions. Although this method is successfully used for broken bar detection based on current signal analysis, it is important to verify the method when vibration signal is measured. Procedure is verified in a real industrial environment for induction motor of 3.15 MW.en
dc.relation.ispartofAdvances in Electrical and Computer Engineeringen
dc.titleVibration based broken bar detection in induction machine for low load conditionsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.doi10.4316/AECE.2017.01007-
dc.identifier.scopus2-s2.0-85014214831-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85014214831-
dc.description.versionUnknownen_US
dc.relation.lastpage54en
dc.relation.firstpage49en
dc.relation.issue1en
dc.relation.volume17en
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptFakultet tehničkih nauka, Departman za računarstvo i automatiku-
crisitem.author.parentorgFakultet tehničkih nauka-
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