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Detection of adjacent and non-adjacent bar breakages in induction motors via convolutional analysis of sound signals

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Detection of adjacent and non-adjacent bar breakages in induction motors via convolutional analysis of sound signals

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Iglesias Martínez, ME.; Fernández De Córdoba, P.; Antonino Daviu, JA.; Conejero, JA. (2020). Detection of adjacent and non-adjacent bar breakages in induction motors via convolutional analysis of sound signals. Applied Sciences. 10(19):1-19. https://doi.org/10.3390/app10196641

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/166204

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Title: Detection of adjacent and non-adjacent bar breakages in induction motors via convolutional analysis of sound 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 Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica
Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Issued date:
Abstract:
[EN] We apply power spectral analysis based on covariance function and spectral subtraction to detect adjacent and non-adjacent bar breakages. We get a spectral pattern when the signal presents one or various broken bars, ...[+]
Subjects: Electrical machines , Rotor bar breakages , Spectral analysis , Noise
Copyrigths: Reconocimiento (by)
Source:
Applied Sciences. (eissn: 2076-3417 )
DOI: 10.3390/app10196641
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/app10196641
Project ID:
AEI/MTM2016-75963-P
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-095747-B-I00/ES/TECNOLOGIAS AVANZADAS BASADAS EN EL ANALISIS DEL FLUJO DE DISPERSION EN REGIMEN TRANSITORIO PARA EL DIAGNOSTICO PRECOZ DE ANOMALIAS ELECTROMECANICAS EN MOTORES ELECTRICOS/
GENERALITAT VALENCIANA/AICO/2019/224
Thanks:
This research was funded by MEC, grant number MTM 2016-7963-P; Spanish `Ministerio de Ciencia Innovacion y Universidades' and FEDER program in the framework of the `Proyectos de I +D de Generacion de Conocimiento del ...[+]
Type: Artículo

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