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Locally optimized chirplet spectrogram for condition monitoring of induction machines in transient regime

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Locally optimized chirplet spectrogram for condition monitoring of induction machines in transient regime

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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


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