Diagnostics of Interturn Short Circuits in PMSMs With Online Fault Indicators Estimation

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dc.contributor.authorZezula, Lukášcs
dc.contributor.authorKozovský, Matúšcs
dc.contributor.authorBlaha, Petrcs
dc.date.issued2024-02-27cs
dc.description.abstractThis article presents novel model-based diagnostics of interturn short circuits in permanent magnet synchronous machines that enable estimating fault location and its severity, even during transients. The proposed method utilizes recursive parametric estimation and model comparison approaches cast in a decision-making framework to track motor parameters and fault indicators from a machine's discrete-time model. The discrete-time prototype is derived from an advanced motor model that reflects the stator winding arrangement in a motor's case. The fault detection is then performed by tracking the changes in the estimated probability density function of the electrical parameters, using the Kullback–Leibler divergence. The fault location is subsequently evaluated by performing a recursive comparison of the predefined fault models in the different phases, utilizing a growing-window approach. Ultimately, a parametric estimation algorithm applied to the fault current model allows identifying the fault severity. The diagnostic algorithm has been validated via laboratory experiments, and its capabilities are compared with other approaches enabling severity estimation.en
dc.formattextcs
dc.format.extent11cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationIEEE Transactions on Industrial Electronics. 2024, 11 p.en
dc.identifier.doi10.1109/TIE.2024.3363775cs
dc.identifier.issn0278-0046cs
dc.identifier.orcid0000-0002-3183-2438cs
dc.identifier.orcid0000-0002-1547-1003cs
dc.identifier.orcid0000-0001-5534-2065cs
dc.identifier.other188175cs
dc.identifier.researcheridE-2371-2018cs
dc.identifier.researcheridD-6854-2012cs
dc.identifier.scopus7006825993cs
dc.identifier.urihttp://hdl.handle.net/11012/245247
dc.language.isoencs
dc.publisherIEEEcs
dc.relation.ispartofIEEE Transactions on Industrial Electronicscs
dc.relation.urihttps://ieeexplore.ieee.org/document/10449893cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/0278-0046/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectdiscrete-time systemsen
dc.subjectfault detectionen
dc.subjectfault diagnosisen
dc.subjectfault locationen
dc.subjectparameter estimationen
dc.subjectpermanent magnet motorsen
dc.subjectrecursive estimationen
dc.titleDiagnostics of Interturn Short Circuits in PMSMs With Online Fault Indicators Estimationen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-188175en
sync.item.dbtypeVAVen
sync.item.insts2024.06.29 22:46:13en
sync.item.modts2024.06.29 22:13:28en
thesis.grantorVysoké učení technické v Brně. Středoevropský technologický institut VUT. Kybernetika a robotikacs
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