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Fault Diagnosis in the Slip Frequency Plane of Induction Machines Working in Time-Varying Conditions

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Fault Diagnosis in the Slip Frequency Plane of Induction Machines Working in Time-Varying Conditions

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dc.contributor.author Puche-Panadero, Rubén es_ES
dc.contributor.author Martinez-Roman, Javier 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.date.accessioned 2021-11-05T14:10:33Z
dc.date.available 2021-11-05T14:10:33Z
dc.date.issued 2020-06 es_ES
dc.identifier.uri http://hdl.handle.net/10251/176420
dc.description.abstract [EN] Motor current signature analysis (MCSA) is a fault diagnosis method for induction machines (IMs) that has attracted wide industrial interest in recent years. It is based on the detection of the characteristic fault signatures that arise in the current spectrum of a faulty induction machine. Unfortunately, the MCSA method in its basic formulation can only be applied in steady state functioning. Nevertheless, every day increases the importance of inductions machines in applications such as wind generation, electric vehicles, or automated processes in which the machine works most of time under transient conditions. For these cases, new diagnostic methodologies have been proposed, based on the use of advanced time-frequency transforms-as, for example, the continuous wavelet transform, the Wigner Ville distribution, or the analytic function based on the Hilbert transform-which enables to track the fault components evolution along time. All these transforms have high computational costs and, furthermore, generate as results complex spectrograms, which require to be interpreted for qualified technical staff. This paper introduces a new methodology for the diagnosis of faults of IM working in transient conditions, which, unlike the methods developed up to today, analyzes the current signal in the slip-instantaneous frequency plane (s-IF), instead of the time-frequency (t-f) plane. It is shown that, in the s-IF plane, the fault components follow patterns that that are simple and unique for each type of fault, and thus does not depend on the way in which load and speed vary during the transient functioning; this characteristic makes the diagnostic task easier and more reliable. This work introduces a general scheme for the IMs diagnostic under transient conditions, through the analysis of the stator current in the s-IF plane. Another contribution of this paper is the introduction of the specific s-IF patterns associated with three different types of faults (rotor asymmetry fault, mixed eccentricity fault, and single-point bearing defects) that are theoretically justified and experimentally tested. As the calculation of the IF of the fault component is a key issue of the proposed diagnostic method, this paper also includes a comparative analysis of three different mathematical tools for calculating the IF, which are compared not only theoretically but also experimentally, comparing their performance when are applied to the tested diagnostic signals. 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 MDPI AG es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Analytic signal es_ES
dc.subject Wavelet transform es_ES
dc.subject Fault diagnosis es_ES
dc.subject Induction machines es_ES
dc.subject Spectrogram es_ES
dc.subject Time-frequency domain es_ES
dc.subject Wigner-Ville distribution es_ES
dc.subject.classification INGENIERIA ELECTRICA es_ES
dc.title Fault Diagnosis in the Slip Frequency Plane of Induction Machines Working in Time-Varying Conditions es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s20123398 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//RTI2018-102175-B-I00-AR//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 Puche-Panadero, R.; Martinez-Roman, J.; Sapena-Bano, A.; Burriel-Valencia, J.; Riera-Guasp, M. (2020). Fault Diagnosis in the Slip Frequency Plane of Induction Machines Working in Time-Varying Conditions. Sensors. 20(12):1-26. https://doi.org/10.3390/s20123398 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/s20123398 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 26 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 20 es_ES
dc.description.issue 12 es_ES
dc.identifier.eissn 1424-8220 es_ES
dc.identifier.pmid 32560194 es_ES
dc.identifier.pmcid PMC7349541 es_ES
dc.relation.pasarela S\416142 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder European Regional Development Fund es_ES


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