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dc.contributor.author | Martinez-Roman, Javier | es_ES |
dc.contributor.author | Puche-Panadero, Rubén | es_ES |
dc.contributor.author | Sapena-Bano, Angel | es_ES |
dc.contributor.author | Burriel-Valencia, Jordi | es_ES |
dc.contributor.author | Riera-Guasp, Martín | es_ES |
dc.contributor.author | Pineda-Sanchez, Manuel | es_ES |
dc.date.accessioned | 2022-02-15T19:03:52Z | |
dc.date.available | 2022-02-15T19:03:52Z | |
dc.date.issued | 2022-02-28 | es_ES |
dc.identifier.issn | 0263-2241 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/180865 | |
dc.description.abstract | [EN] The locally optimized chirplet spectrogram (LOCS) is a novel method proposed in this work for generating a high-resolution and cost-effective spectrogram of the induction machine (IM) current, suitable for the identification of fault-related harmonics in transient conditions. Its distinctive novelty is that it optimizes automatically the parameters of the analysing window used for building the current spectrogram, at each point of the time-frequency plane, with the computational cost of a conventional, non-optimized spectrogram. It is based on the definition of a large dictionary of different chirplet windows, which are combined into a single, complex time window. A single short time Fourier transform with this new window generates in parallel the spectrograms of all the dictionary windows, and the LOCS chooses among them the locally optimized values in an automatic way. The proposed technique is applied to the diagnosis of two commercial induction motors with bar breakages and mixed eccentricity faults. | es_ES |
dc.description.sponsorship | This work was supported by the Spanish "Ministerio de Ciencia, Innovacion y Universidades (MCIU) ", the "Agencia Estatal de Investigacion (AEI) "and the "Fondo Europeo de Desarrollo Regional (FEDER) "in the framework of the "Proyectos I+D+i-Retos Investigacion 2018", project reference RTI2018-102175-B-I00 (MCIU/AEI/FEDER, UE) . | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Measurement | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Fault diagnosis | es_ES |
dc.subject | Fourier transforms | es_ES |
dc.subject | Induction machines | es_ES |
dc.subject | Spectrogram | es_ES |
dc.subject | Condition monitoring | es_ES |
dc.subject.classification | INGENIERIA ELECTRICA | es_ES |
dc.title | Locally optimized chirplet spectrogram for condition monitoring of induction machines in transient regime | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.measurement.2021.110690 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-102175-B-I00/ES/DISEÑO DE MODELOS AVANZADOS DE SIMULACION DE AEROGENERADORES PARA EL DESARROLLO Y PUESTA A PUNTO DE SISTEMAS DE DIAGNOSTICO DE AVERIAS "ON-LINE"./ | 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 | Martinez-Roman, J.; Puche-Panadero, R.; Sapena-Bano, A.; Burriel-Valencia, J.; Riera-Guasp, M.; Pineda-Sanchez, M. (2022). Locally optimized chirplet spectrogram for condition monitoring of induction machines in transient regime. Measurement. 190:1-17. https://doi.org/10.1016/j.measurement.2021.110690 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.measurement.2021.110690 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 17 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 190 | es_ES |
dc.relation.pasarela | S\455041 | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |