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Detection of nonadjacent rotor faults in induction motors via spectral subtraction and autocorrelation of stray flux signals

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Detection of nonadjacent rotor faults in induction motors via spectral subtraction and autocorrelation of stray flux signals

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Iglesias-Martínez, ME.; Fernández De Córdoba, P.; Antonino Daviu, JA.; Conejero, JA. (2019). Detection of nonadjacent rotor faults in induction motors via spectral subtraction and autocorrelation of stray flux signals. IEEE Transactions on Industry Applications. 55(5):4585-4594. https://doi.org/10.1109/TIA.2019.2917861

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/156934

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Title: Detection of nonadjacent rotor faults in induction motors via spectral subtraction and autocorrelation of stray flux signals
Author: Iglesias-Martínez, Miguel Enrique Fernández de Córdoba, Pedro Antonino Daviu, José Alfonso Conejero, J. Alberto
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica
Issued date:
Abstract:
[EN] In this paper, statistical signal processing techniques are applied to electromotive force signals captured in external coil sensors for adjacent and nonadjacent broken bars detection in induction motors. An algorithm ...[+]
Subjects: Fault diagnosis , Induction motors , Flux , Signals , Spectral analysis
Copyrigths: Reserva de todos los derechos
Source:
IEEE Transactions on Industry Applications. (issn: 0093-9994 )
DOI: 10.1109/TIA.2019.2917861
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/TIA.2019.2917861
Conference name: XXIIIrd International Conference on Electrical Machines (ICEM 2018)
Conference place: Alexandroupoli,Greece
Conference date: Septiembre 03-06,2018
Project ID:
AEI/MTM2016-75963-P
AEI/PGC2018-095747-B-I00-AR
Description: (c) 2019 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.
Thanks:
This work was supported in part by MEC under Project MTM 2016-7963-P and in part by the Spanish 'Ministerio de Ciencia Innovacion y Universidades' and FEDER program in the framework of the 'Proyectos de I+D de Generacion ...[+]
Type: Artículo Comunicación en congreso

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