Lopez-Perez, D.; Antonino-Daviu, J. (2017). Application of infrared thermography to failure detection in industrial induction motors: case stories. IEEE Transactions on Industry Applications. 53(3):1901-1908. https://doi.org/10.1109/TIA.2017.2655008
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/103625
Título:
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Application of infrared thermography to failure detection in industrial induction motors: case stories
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Autor:
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Lopez-Perez, D.
Antonino-Daviu, J.
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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] Infrared thermography has been extensively applied over decades to areas such as maintenance of electrical installations. Its use in electrical machinery has been mainly circumscribed to the detection of faults in ...[+]
[EN] Infrared thermography has been extensively applied over decades to areas such as maintenance of electrical installations. Its use in electrical machinery has been mainly circumscribed to the detection of faults in static machines, such as power transformers. However, with regard to the predictive maintenance of rotating electrical machines, its use has been much more limited. In spite of this fact, the potential of this tool, together with the progressive decrease in the price of infrared cameras, make this technique a very interesting option to, at least, complement, the diagnosis provided by other well-known techniques, such as current or vibration data analysis. In this context, infrared thermography has recently shown potential for the detection of motor failures including misalignments, cooling problems, bearing damages or connection defects. This work presents several industrial cases that help to illustrate the effectiveness of this technique for the detection of a wide range of faults in field induction motors. The data obtained with this technique made it possible to detect the presence of faults of diverse nature (electrical, mechanical, thermal and environmental); these data were very useful to either diagnose or to complement the diagnosis provided by other tools.
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Palabras clave:
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Induction motors
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Fault diagnosis
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Infrared imaging
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Bearing faults
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Camera
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Cooling
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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 Transactions on Industry Applications. (issn:
0093-9994
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DOI:
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10.1109/TIA.2017.2655008
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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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http://doi.org/10.1109/TIA.2017.2655008
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Título del congreso:
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XXIIth International Conference on Electrical Machines (ICEM 2016)
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Lugar del congreso:
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Lausanne, Switzerland
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Fecha congreso:
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September 04-07,2016
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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 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
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Agradecimientos:
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This work was supported in part by the Spanish Ministerio de Economia y Competitividad and the FEDER Program in the framework of the Proyectos I+D del Subprograma de Generacion de Conocimiento, Programa Estatal de Fomento ...[+]
This work was supported in part by the Spanish Ministerio de Economia y Competitividad and 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
Comunicación en congreso
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