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Multi-Band Frequency Window for Time-Frequency Fault Diagnosis of Induction Machines

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Multi-Band Frequency Window for Time-Frequency Fault Diagnosis of Induction Machines

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dc.contributor.author Burriel-Valencia, Jordi es_ES
dc.contributor.author Puche-Panadero, Rubén es_ES
dc.contributor.author Martinez-Roman, Javier es_ES
dc.contributor.author Riera-Guasp, Martín es_ES
dc.contributor.author Sapena-Bano, Angel es_ES
dc.contributor.author Pineda-Sanchez, Manuel es_ES
dc.date.accessioned 2020-04-08T05:58:34Z
dc.date.available 2020-04-08T05:58:34Z
dc.date.issued 2019-09-01 es_ES
dc.identifier.uri http://hdl.handle.net/10251/140496
dc.description.abstract [EN] Induction machines drive many industrial processes and their unexpected failure can cause heavy producti on losses. The analysis of the current spectrum can identify online the characteristic fault signatures at an early stage, avoiding unexpected breakdowns. Nevertheless, frequency domain analysis requires stable working conditions, which is not the case for wind generators, motors driving varying loads, and so forth. In these cases, an analysis in the time-frequency domain¿such as a spectrogram¿is required for detecting faults signatures. The spectrogram is built using the short time Fourier transform, but its resolution depends critically on the time window used to generate it¿short windows provide good time resolution but poor frequency resolution, just the opposite than long windows. Therefore, the window must be adapted at each time to the shape of the expected fault harmonics, by highly skilled maintenance personnel. In this paper this problem is solved with the design of a new multi-band window, which generates simultaneously many different narrow-band current spectrograms and combines them into as single, high resolution one, without the need of manual adjustments. The proposed method is validated with the diagnosis of bar breakages during the start-up of a commercial induction motor. es_ES
dc.description.sponsorship This research was funded 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 MDPI AG es_ES
dc.relation AEI/RTI2018-102175-B-I00-AR es_ES
dc.relation.ispartof Energies es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Fault diagnosis es_ES
dc.subject Induction motors es_ES
dc.subject Wind energy generation es_ES
dc.subject Fourier transforms es_ES
dc.subject Spectral analysis es_ES
dc.subject Spectrogram es_ES
dc.subject Transient regime es_ES
dc.subject.classification INGENIERIA ELECTRICA es_ES
dc.title Multi-Band Frequency Window for Time-Frequency Fault Diagnosis of Induction Machines es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/en12173361 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 Burriel-Valencia, J.; Puche-Panadero, R.; Martinez-Roman, J.; Riera-Guasp, M.; Sapena-Bano, A.; Pineda-Sanchez, M. (2019). Multi-Band Frequency Window for Time-Frequency Fault Diagnosis of Induction Machines. Energies. 12(17):1-18. https://doi.org/10.3390/en12173361 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/en12173361 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 18 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 12 es_ES
dc.description.issue 17 es_ES
dc.identifier.eissn 1996-1073 es_ES
dc.relation.pasarela S\392493 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES


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