Fernandez-Cavero, V.; Morinigo-Sotelo, D.; Duque-Perez, O.; Pons Llinares, J. (2017). A comparison of techniques for fault detection in inverter-fed induction motors in transient regime. IEEE Access. 5:8048-8063. https://doi.org/10.1109/ACCESS.2017.2702643
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/148674
Título:
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A comparison of techniques for fault detection in inverter-fed induction motors in transient regime
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Autor:
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Fernandez-Cavero, Vanessa
Morinigo-Sotelo, Daniel
Duque-Perez, Oscar
Pons Llinares, Joan
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Entidad UPV:
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Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica
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Fecha difusión:
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Resumen:
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[EN] Fault detection in induction motors operating in non-stationary regimes has become a need in today's industry. Most of the works published deal with line-fed motors. Nevertheless, the number of inverterfed induction ...[+]
[EN] Fault detection in induction motors operating in non-stationary regimes has become a need in today's industry. Most of the works published deal with line-fed motors. Nevertheless, the number of inverterfed induction motors has significantly increased in recent years. Therefore, several fault detection techniques have been proposed lately for this type of motors, based mainly on an adequate input signal processing to obtain fault signatures in the time-frequency domain. In this paper, a comparison of time-frequency techniques applied to fault detection in inverter-fed induction motors in a transient state is presented. For that purpose, the techniques are applied to two current signals acquired from two induction motors with two types of faults: bar breakage and mixed eccentricity. The paper shows the particularities and special difficulties of diagnosing under this type of feeding, reviewing the works related to each technique. The strengths and weaknesses of these techniques are discussed with the goal of providing a criterion for its application in an industrial environment and guidance for future developments in this field.
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Palabras clave:
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Induction motors
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Harmonic analysis
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Time-frequency analysis
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Inverters
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Fault detection
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Transient analysis
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Trajectory
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Derechos de uso:
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Reserva de todos los derechos
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Fuente:
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IEEE Access. (eissn:
2169-3536
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DOI:
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10.1109/ACCESS.2017.2702643
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Editorial:
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Institute of Electrical and Electronics Engineers
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Versión del editor:
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https://doi.org/10.1109/ACCESS.2017.2702643
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Código del Proyecto:
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info:eu-repo/grantAgreement/MINECO//DPI2014-52842-P/ES/COMBINACION DE TECNICAS NO INVASIVAS DE MONITORIZACION DEL ESTADO PARA EL DESARROLLO DE MOTORES ELECTRICOS INTELIGENTES/
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Descripción:
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"(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works."
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Agradecimientos:
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This work was supported in part by the Spanish Ministerio de Economia y Competitividad and in part by the FEDER program in the framework of the Proyectos I+D del Subprograma de Generacion de Conocimiento, Programa Estatal ...[+]
This work was supported in part by the Spanish Ministerio de Economia y Competitividad and in part by the FEDER program in the framework of the Proyectos I+D del Subprograma de Generacion de Conocimiento, Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia under Grant DPI2014-52842-P.
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Tipo:
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Artículo
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