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Reliable Detection of Rotor Bars Breakage in Induction Motors via MUSIC and ZSC Methods

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Reliable Detection of Rotor Bars Breakage in Induction Motors via MUSIC and ZSC Methods

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dc.contributor.author Morinigo-Sotelo, Daniel es_ES
dc.contributor.author Romero-Troncoso, R.D. es_ES
dc.contributor.author Panagiotou, P.A. es_ES
dc.contributor.author Antonino-Daviu, J.A. es_ES
dc.contributor.author Gyftakis, Konstantinos N. es_ES
dc.date.accessioned 2020-06-11T03:32:26Z
dc.date.available 2020-06-11T03:32:26Z
dc.date.issued 2018-03 es_ES
dc.identifier.issn 0093-9994 es_ES
dc.identifier.uri http://hdl.handle.net/10251/145975
dc.description "(c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works" es_ES
dc.description.abstract [EN] Induction motors are used in a variety of industrial applications where frequent startup cycles are required. In those cases, it is necessary to apply sophisticated signal processing analysis methods in order to reliably follow the time evolution of fault-related harmonics in the signal. In this paper, the zero-sequence current (ZSC) is analyzed using the high-resolution spectral method of multiple signal classification. The analysis of the ZSC signal has proved to have several advantages over the analysis of a single-phase current waveform. The method is validated through simulation and experimental results. The simulations are carried out for a 1.1-MW and a 4-kW induction motors under finite element analysis. Experimentation is performed on a healthy motor, a motor with one broken rotor bar, and a motor with two broken rotor bars. The analysis results are satisfactory since the proposed methodology reliably detects the broken rotor bar fault and its severity, both during transient and steady-state operation of the induction motor. es_ES
dc.description.sponsorship This work was supported in part by the Spanish Ministerio de Economia y Competitividad (MINECO) and in part by the FEDER program in the framework of the Proyectos I+D del Subprograma de Generacion de Conocimiento, Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia under Grant DPI2014-52842-P. es_ES
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers es_ES
dc.relation.ispartof IEEE Transactions on Industry Applications es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Induction motors es_ES
dc.subject Rotors es_ES
dc.subject Bars es_ES
dc.subject Harmonic analysis es_ES
dc.subject Multiple signal classification es_ES
dc.subject Transient analysis es_ES
dc.subject Stator windings es_ES
dc.subject.classification INGENIERIA ELECTRICA es_ES
dc.title Reliable Detection of Rotor Bars Breakage in Induction Motors via MUSIC and ZSC Methods es_ES
dc.type Artículo es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.1109/TIA.2017.2764846 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//DPI2014-52842-P/ES/COMBINACION DE TECNICAS NO INVASIVAS DE MONITORIZACION DEL ESTADO PARA EL DESARROLLO DE MOTORES ELECTRICOS INTELIGENTES/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica es_ES
dc.description.bibliographicCitation Morinigo-Sotelo, D.; Romero-Troncoso, R.; Panagiotou, P.; Antonino-Daviu, J.; Gyftakis, KN. (2018). Reliable Detection of Rotor Bars Breakage in Induction Motors via MUSIC and ZSC Methods. IEEE Transactions on Industry Applications. 54(2):1224-1234. https://doi.org/10.1109/TIA.2017.2764846 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename XXIIth International Conference on Electrical Machines (ICEM 2016) es_ES
dc.relation.conferencedate Septiembre 04-07,2016 es_ES
dc.relation.conferenceplace Lausanne, Switzerland es_ES
dc.relation.publisherversion https://doi.org/10.1109/TIA.2017.2764846 es_ES
dc.description.upvformatpinicio 1224 es_ES
dc.description.upvformatpfin 1234 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 54 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\345047 es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad es_ES


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