Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/28558
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dc.contributor.authorSupangat, R.en
dc.contributor.authorErtugrul, N.en
dc.contributor.authorSoong, W.en
dc.contributor.authorGray, D.en
dc.contributor.authorHansen, C.en
dc.contributor.authorGrieger, J.en
dc.date.issued2005en
dc.identifier.citationPower electronics and applications : EPE 2005 (11th European conference Dresden, Germany 11 - 14 September 2005): [10 pp]en
dc.identifier.isbn9075815085en
dc.identifier.isbn9789075815085en
dc.identifier.urihttp://hdl.handle.net/2440/28558-
dc.description.abstractFault detection based on a common steady-state analysis technique, such as FFT, is known to be significantly dependant on the loading conditions of induction motors. At light load, it is difficult to distinguish between healthy and faulty rotors because the characteristic broken rotor bar fault frequencies are very close to the fundamental component and their amplitudes are small in comparison. As a result, detection of the fault and classification of the fault severity under light load is almost impossible. In order to overcome this problem, this paper investigates the detection of rotor faults in induction machines by analysing the starting current using a newly developed quantification technique based on the wavelet transform. The analysis technique applies the wavelet transform to the envelope of the starting current. The envelope extraction is used to remove the strong fundamental component, which overshadows the characteristic differences between a healthy motor and a faulty motor with broken rotor bars. The results are then verified using tests on a machine with a varying numbers of broken bars. The effects of initial rotor position, supply imbalance and loading are also investigated.en
dc.description.urihttp://www.mecheng.adelaide.edu.au/anvc/abstract.php?abstract=353en
dc.language.isoenen
dc.publisherIEEEen
dc.source.urihttp://www.epe-association.org/epe/documents.detail.php?documents_id=7580en
dc.subjectfault diagnosis; induction motors; wavelet transformsen
dc.titleBroken rotor bar fault detection in induction motors using starting current analysisen
dc.typeConference paperen
dc.identifier.rmid0020051763en
dc.contributor.conferenceEuropean Conference on Power Electronics and Applications (11th : 2005 : Dresden, Germany)en
dc.publisher.placeCD ROMen
dc.identifier.pubid54110-
pubs.library.collectionElectrical and Electronic Engineering publicationsen
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
Appears in Collections:Electrical and Electronic Engineering publications
Environment Institute publications

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