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A Precise, General, Non-Invasive and Automatic Speed Estimation Method for MCSA Diagnosis and Efficiency Estimation of Induction Motors

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A Precise, General, Non-Invasive and Automatic Speed Estimation Method for MCSA Diagnosis and Efficiency Estimation of Induction Motors

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dc.contributor.author Bonet-Jara, Jorge es_ES
dc.contributor.author Pons Llinares, Joan es_ES
dc.date.accessioned 2023-06-05T18:00:16Z
dc.date.available 2023-06-05T18:00:16Z
dc.date.issued 2023-06 es_ES
dc.identifier.issn 0885-8969 es_ES
dc.identifier.uri http://hdl.handle.net/10251/193872
dc.description.abstract [EN] Efficiency estimation and diagnosis via MCSA require precise knowledge of speed. In an industrial environment, speed must be obtained with a non-invasive, automatic and general method. Recent studies have shown that Sensorless Speed Estimation techniques based on detecting Rotational Frequency Sideband Harmonics (RFSHs) or Rotor Slot Harmonics (RSHs) are best suited to these purposes. RFSHs-based methods are easier to apply as they only depend on the number of poles. RSHs-based are much more accurate due to their wider bandwidth. Yet, their use is not trivial as they require to identify the RSHs family, assign to each RSH its order of the current harmonic (¿) and determine the number of rotor slots (R), a rarely known parameter. This paper ends with this trade-off between accuracy and applicability by proposing a novel RSHs-based technique that, for the first time in technical literature, eliminates the need to estimate the number of rotor slots and provides a reliable and automatic procedure to locate the RSHs family and determine their ¿ indices. Finally, the method is validated under all types of conditions and motor designs, by simulations, lab tests and with 105 industrial motors, highlighting its high accuracy (errors below 0.05 rpm), and applicability. es_ES
dc.description.sponsorship This work was supported by the Universitat Politecnica de Valencia and the Spanish Ministry of Science, Innovation and Universities [FPU19/02698] es_ES
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers es_ES
dc.relation.ispartof IEEE Transactions on Energy Conversion es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Diagnosis es_ES
dc.subject Induction Motors es_ES
dc.subject MCSA es_ES
dc.subject Sensorless Speed Estimation es_ES
dc.subject Efficiency Estimation es_ES
dc.subject.classification INGENIERIA ELECTRICA es_ES
dc.title A Precise, General, Non-Invasive and Automatic Speed Estimation Method for MCSA Diagnosis and Efficiency Estimation of Induction Motors es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/TEC.2022.3220853 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/ //FPU19%2F02698//AYUDA PREDOCTORAL FPU-BONET JARA. PROYECTO: ALGORITMO DE ESTIMACIÓN AUTOMÁTICA DE LA VELOCIDAD PARA EL DIAGNÓSTICO Y DETERMINACIÓN DE LA EFICIENCIA DE MOTORES DE INDUCCIÓN./ 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.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny es_ES
dc.description.bibliographicCitation Bonet-Jara, J.; Pons Llinares, J. (2023). A Precise, General, Non-Invasive and Automatic Speed Estimation Method for MCSA Diagnosis and Efficiency Estimation of Induction Motors. IEEE Transactions on Energy Conversion. 38(2):1257-1267. https://doi.org/10.1109/TEC.2022.3220853 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1109/TEC.2022.3220853 es_ES
dc.description.upvformatpinicio 1257 es_ES
dc.description.upvformatpfin 1267 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 38 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\478320 es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.contributor.funder MINISTERIO DE UNIVERSIDADES E INVESTIGACION es_ES


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