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dc.contributor.authorClimente-Alarcon, V
dc.contributor.authorArkkio, A
dc.contributor.authorAntonino-Daviu, J
dc.date.accessioned2018-12-19T00:30:58Z
dc.date.available2018-12-19T00:30:58Z
dc.date.issued2018
dc.identifier.issn0093-9994
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/287174
dc.description.abstract© 1972-2012 IEEE. The analysis of the vibration response of electrical machines has importance in noise prediction and more recently, diagnosis of electrical faults, especially in the industrial environment, where it is a well-known technique. This work assesses the performance of a strongly coupled two-dimensional (2-D) magnetomechanical approach, as directly available in multiphysics software, for the simulation of an induction machine under heavy operational conditions: a direct-on-line startup. Both healthy and broken bar states are simulated in a time span long enough to allow the detailed study of the varying frequency components. The results yield, in addition to the usual electrical and magnetic quantities, electromagnetic-induced vibration components in the stator. A comparison with current and vibration experimental data is also performed showing a good agreement with variable frequency components and certain limitations concerning their amplitude.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.title2-D Magnetomechanical Transient Study of a Motor Suffering a Bar Breakage
dc.typeConference Object
prism.endingPage2104
prism.issueIdentifier3
prism.publicationDate2018
prism.publicationNameIEEE Transactions on Industry Applications
prism.startingPage2097
prism.volume54
dc.identifier.doi10.17863/CAM.34483
dcterms.dateAccepted2018-01-01
rioxxterms.versionofrecord10.1109/TIA.2018.2791918
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-05-01
dc.contributor.orcidClimente-Alarcon, V [0000-0002-1273-8454]
dc.contributor.orcidArkkio, A [0000-0002-0556-6412]
dc.contributor.orcidAntonino-Daviu, J [0000-0003-1898-2228]
dc.identifier.eissn1939-9367
rioxxterms.typeConference Paper/Proceeding/Abstract
pubs.conference-nameECCE 2017


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