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Scale Invariant Feature Extraction Algorithm for the Automatic Diagnosis of Rotor Asymmetries in Induction Motors

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Scale Invariant Feature Extraction Algorithm for the Automatic Diagnosis of Rotor Asymmetries in Induction Motors

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dc.contributor.author Antonino-Daviu, J. es_ES
dc.contributor.author Aviyente, Selin es_ES
dc.contributor.author Strangas, Elias G. es_ES
dc.contributor.author Riera-Guasp, Martín es_ES
dc.date.accessioned 2017-12-27T10:30:44Z
dc.date.available 2017-12-27T10:30:44Z
dc.date.issued 2013 es_ES
dc.identifier.issn 1551-3203 es_ES
dc.identifier.uri http://hdl.handle.net/10251/93476
dc.description.abstract [EN] The development of portable devices that make the reliable diagnosis of faults in electric motors possible has become a challenge for many researchers and maintenance enterprises. These machines intervene in a huge amount of processes and applications and their eventual failure may imply important costs in terms of time and money. However, the aforementioned issue remains unsolved because most of the developed fault diagnosis techniques rely on the user expertise, since they are based on a qualitative interpretation of the results. This complicates the implementation of these methodologies in condition monitoring systems or devices. The objective of this paper is to propose an integral methodology that is able to diagnose the presence of rotor bar failures in an automatic way. The proposed algorithm combines the Discrete Wavelet Transform with the scale transform for feature extraction and correlation coefficient for pattern recognition. The algorithm is applied to both small and large motors operating in a wide range of conditions. The results illustrate the validity and generality of the approach for automatic condition monitoring of electric motors. es_ES
dc.description.sponsorship This work was supported in part by the Ministerio de Educacion, Modalidad B del subprograma de estancias de movilidad de profesores e investigadores espanoles en centros extranjeros, Estancias de movilidad en el extranjero Jose Castillejo para jovenes doctores and by the Spanish Ministerio de Educacion y Ciencia in the framework of the Programa Nacional de proyectos de Investigacion Fundamental, project reference DPI2008-06583/DPI. Personal use of this material is permitted. However, permission to use this material for any other purposes must be obtained from the IEEE by sending a request to pubs-permissions@ieee.org. Paper no. TII-11-348. Asterisk indicates corresponding author. en_EN
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers es_ES
dc.relation MECD/DPI2008-06583 es_ES
dc.relation.ispartof IEEE Transactions on Industrial Informatics es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject AC machine es_ES
dc.subject Condition monitoring es_ES
dc.subject Correlation es_ES
dc.subject Discrete wavelet transforms es_ES
dc.subject Fault diagnosis es_ES
dc.subject Feature extraction es_ES
dc.subject Induction motor es_ES
dc.subject Motor spectrum analysis es_ES
dc.subject Pattern recognition es_ES
dc.subject Transient analysis es_ES
dc.subject.classification INGENIERIA ELECTRICA es_ES
dc.title Scale Invariant Feature Extraction Algorithm for the Automatic Diagnosis of Rotor Asymmetries in Induction Motors es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/TII.2012.2198659 es_ES
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 Antonino-Daviu, J.; Aviyente, S.; Strangas, EG.; Riera-Guasp, M. (2013). Scale Invariant Feature Extraction Algorithm for the Automatic Diagnosis of Rotor Asymmetries in Induction Motors. IEEE Transactions on Industrial Informatics. 9(1):100-108. doi:10.1109/TII.2012.2198659 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1109/TII.2012.2198659 es_ES
dc.description.upvformatpinicio 100 es_ES
dc.description.upvformatpfin 108 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 9 es_ES
dc.description.issue 1 es_ES
dc.relation.pasarela 236417 es_ES
dc.contributor.funder Ministerio de Educación (MECD) es_ES


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