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dc.contributor.author | Zamudio-Ramírez, Israel | es_ES |
dc.contributor.author | Osornio-Rios, Roque Alfredo | es_ES |
dc.contributor.author | Antonino-Daviu, J. | es_ES |
dc.contributor.author | Razik, Hubert | es_ES |
dc.contributor.author | Romero-Troncoso, Rene de Jesus | es_ES |
dc.date.accessioned | 2024-01-12T19:01:26Z | |
dc.date.available | 2024-01-12T19:01:26Z | |
dc.date.issued | 2022-05 | es_ES |
dc.identifier.issn | 1551-3203 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/201880 | |
dc.description.abstract | [EN] Magnetic flux analysis is a condition monitoring technique that is drawing the interest of many researchers and motor manufacturers. The great enhancements and reduction in the costs and dimensions of the required sensors, the development of advanced signal processing techniques that are suitable for flux data analysis, along with other inherent advantages provided by this technology are relevant aspects that have allowed the proliferation of flux-based techniques. This paper reviews the most recent scientific contributions related to the development and application of flux-based methods for the monitoring of rotating electric machines. Particularly, aspects related to the main sensors used to acquire magnetic flux signals as well as the leading signal processing and classification techniques are commented. The discussion is focused on the diagnosis of different types of faults in the most common rotating electric machines used in industry, namely: squirrel cage induction machines (SCIM), wound rotor induction machines (WRIM), permanent magnet machines (PMM) and wound field synchronous machines (WFSM). A critical insight of the techniques developed in the area is provided and several open challenges are also discussed. | es_ES |
dc.description.sponsorship | This work was supported by the Spanish 'Ministerio de Ciencia Innovación y Universidades' and FEDER program in the framework of the "Proyectos de I+D de Generación de Conocimiento del Programa Estatal de Generación de Conocimiento y Fortalecimiento Científico y Tecnologico del Sistema de I+D+i, Subprograma Estatal de Generacion de Conocimiento" reference PGC2018-095747-B-I00 and by the Consejo Nacional de Ciencia y Tecnología under CONACyT Scholarship with key code 2019-000037-02NACF. Paper no. TII-20-5308. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Institute of Electrical and Electronics Engineers | es_ES |
dc.relation.ispartof | IEEE Transactions on Industrial Informatics | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Fault diagnosis | es_ES |
dc.subject | Condition monitoring | es_ES |
dc.subject | Magnetic flux analysis | es_ES |
dc.subject | Electric machines | es_ES |
dc.subject | Industry | es_ES |
dc.subject.classification | INGENIERIA ELECTRICA | es_ES |
dc.title | Magnetic Flux Analysis for the Condition Monitoring of Electric Machines: A Review | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1109/TII.2021.3070581 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-095747-B-I00/ES/TECNOLOGIAS AVANZADAS BASADAS EN EL ANALISIS DEL FLUJO DE DISPERSION EN REGIMEN TRANSITORIO PARA EL DIAGNOSTICO PRECOZ DE ANOMALIAS ELECTROMECANICAS EN MOTORES ELECTRICOS/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/CONAHCYT/CONACYT//2019-000037-02NACF/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials | es_ES |
dc.description.bibliographicCitation | Zamudio-Ramírez, I.; Osornio-Rios, RA.; Antonino-Daviu, J.; Razik, H.; Romero-Troncoso, RDJ. (2022). Magnetic Flux Analysis for the Condition Monitoring of Electric Machines: A Review. IEEE Transactions on Industrial Informatics. 18(5):2895-2908. https://doi.org/10.1109/TII.2021.3070581 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1109/TII.2021.3070581 | es_ES |
dc.description.upvformatpinicio | 2895 | es_ES |
dc.description.upvformatpfin | 2908 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 18 | es_ES |
dc.description.issue | 5 | es_ES |
dc.relation.pasarela | S\431650 | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |
dc.contributor.funder | Consejo Nacional de Humanidades, Ciencias y Tecnologías, México | es_ES |