Hilbert transform, an effective replacement of park's vector modulus for the detection of rotor faults

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorAsad, Bilalen_US
dc.contributor.authorVaimann, Toomasen_US
dc.contributor.authorKallaste, Antsen_US
dc.contributor.authorRassolkin, Antonen_US
dc.contributor.authorBelahcen, Anouaren_US
dc.contributor.departmentTallinn University of Technologyen_US
dc.contributor.departmentDepartment of Electrical Engineering and Automationen_US
dc.date.accessioned2020-02-12T10:51:06Z
dc.date.available2020-02-12T10:51:06Z
dc.date.issued2019-06-01en_US
dc.description.abstractThe rotor-associated faults in electrical machines make the biggest most proportion of overall faults. Most of these faults particularly broken rotor bars, modulate all three phases of the stator in a symmetrical way. This fact makes Park's vector an effective tool to detect them at the incipient stage. As compared to other diagnostic algorithms, Park's vector is gaining more popularity for its noninvasive nature and comparatively simple mathematical model and a wide range of usage. In this paper, the broken rotor bars of a three-phase squirrel cage induction motor is detected using Park's vector modulus and Hilbert transform. It is shown that the Hilbert transform can be used to get the same kind of results as of Park's vector modulus but with a considerable decrease in data size required for analysis. The fault is first simulated using finite-element-based software for the study of its impact on various performance parameters and then Park's vector modulus and Hilbert transform are used to compare their required number of sensors and data size.en
dc.description.versionPeer revieweden
dc.format.extent4
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationAsad , B , Vaimann , T , Kallaste , A , Rassolkin , A & Belahcen , A 2019 , Hilbert transform, an effective replacement of park's vector modulus for the detection of rotor faults . in Electric Power Quality and Supply Reliability Conference and Symposium on Electrical Engineering and Mechatronics, PQ and SEEM 2019 . , 8818227 , 2019 Electric Power Quality and Supply Reliability Conference and 2019 Symposium on Electrical Engineering and Mechatronics, PQ and SEEM 2019 , IEEE , Electric Power Quality and Supply Reliability Conference and Symposium on Electrical Engineering and Mechatronics , Kärdla , Estonia , 12/06/2019 . https://doi.org/10.1109/PQ.2019.8818227en
dc.identifier.doi10.1109/PQ.2019.8818227en_US
dc.identifier.isbn9781728126500
dc.identifier.otherPURE UUID: d56f6715-8e32-4713-ae3a-8fc04f5bfdc1en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/d56f6715-8e32-4713-ae3a-8fc04f5bfdc1en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85072766721&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/40927971/ELEC_Asad_etal_Hilbert_Transform_PQ_SEEM_authoracceptedmanuscript.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/43129
dc.identifier.urnURN:NBN:fi:aalto-202002122198
dc.language.isoenen
dc.relation.ispartofElectric Power Quality and Supply Reliability Conference and Symposium on Electrical Engineering and Mechatronicsen
dc.relation.ispartofseriesElectric Power Quality and Supply Reliability Conference and Symposium on Electrical Engineering and Mechatronics, PQ and SEEM 2019en
dc.rightsopenAccessen
dc.subject.keywordFault diagnosisen_US
dc.subject.keywordFinite element analysisen_US
dc.subject.keywordInduction motorsen_US
dc.subject.keywordSignal processingen_US
dc.titleHilbert transform, an effective replacement of park's vector modulus for the detection of rotor faultsen
dc.typeConference article in proceedingsfi
dc.type.versionacceptedVersion
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