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Particle Filter-Based Estimation of Instantaneous Frequency for the Diagnosis of Electrical Asymmetries in Induction Machines

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Particle Filter-Based Estimation of Instantaneous Frequency for the Diagnosis of Electrical Asymmetries in Induction Machines

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dc.contributor.author Climente Alarcón, Vicente es_ES
dc.contributor.author Antonino Daviu, José Alfonso es_ES
dc.contributor.author Haavisto, Ari es_ES
dc.contributor.author Arkkio, Antero es_ES
dc.date.accessioned 2016-10-03T11:51:35Z
dc.date.available 2016-10-03T11:51:35Z
dc.date.issued 2014-10
dc.identifier.issn 0018-9456
dc.identifier.uri http://hdl.handle.net/10251/70912
dc.description "© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.” Upon publication, authors are asked to include either a link to the abstract of the published article in IEEE Xplore®, or the article’s Digital Object Identifier (DOI). es_ES
dc.description.abstract Fault diagnosis of induction machines operating under variable load conditions is still an unsolved matter. Under those regimes, the application of conventional diagnostic techniques is not suitable, since they are adapted to the analysis of stationary quantities. In this context, modern transient-based methodologies become very appropriate. This paper improves a technique, based on the application of Wigner Ville distribution as time frequency decomposition tool, using a particle filtering method as feature extraction procedure, to diagnose and quantify electrical asymmetries in induction machines, such as wound- rotor induction generators used in wind farms. The combination of both tools allows tracking several variable frequency harmon- ics simultaneously and computing their energy with high accu- racy, yielding magnitudes and values similar to those obtained by the application of the fast Fourier transform in stationary operation. The experimental results show the validity of the approach for rapid speed variations, independently of any speed sensor. es_ES
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) es_ES
dc.relation.ispartof IEEE Transactions on Instrumentation and Measurement es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Fault diagnosis es_ES
dc.subject Induction motors es_ES
dc.subject Particle filters es_ES
dc.subject Prognosis es_ES
dc.subject Time frequency analysis es_ES
dc.subject Variable load es_ES
dc.subject Wigner Ville distribution (WVD) es_ES
dc.subject Wind energy es_ES
dc.subject.classification INGENIERIA ELECTRICA es_ES
dc.title Particle Filter-Based Estimation of Instantaneous Frequency for the Diagnosis of Electrical Asymmetries in Induction Machines es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/TIM.2014.2310113
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica es_ES
dc.description.bibliographicCitation Climente Alarcon, V.; Antonino Daviu, JA.; Haavisto, A.; Arkkio, A. (2014). Particle Filter-Based Estimation of Instantaneous Frequency for the Diagnosis of Electrical Asymmetries in Induction Machines. IEEE Transactions on Instrumentation and Measurement. 63(10):2454-2463. doi:10.1109/TIM.2014.2310113 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1109/TIM.2014.2310113 es_ES
dc.description.upvformatpinicio 2454 es_ES
dc.description.upvformatpfin 2463 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 63 es_ES
dc.description.issue 10 es_ES
dc.relation.senia 272497 es_ES
dc.identifier.eissn 1557-9662


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