Pineda-Sanchez, M.; Puche-Panadero, R.; Riera-Guasp, M.; Pérez-Cruz, J.; Roger-Folch, J.; Pons Llinares, J.; Climente Alarcón, V.... (2013). Application of the Teager-Kaiser Energy Operator to the Fault Diagnosis of Induction Motors. IEEE Transactions on Energy Conversion. 28(4):1036-1044. https://doi.org/10.1109/TEC.2013.2279917
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/103508
Title:
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Application of the Teager-Kaiser Energy Operator to the Fault Diagnosis of Induction Motors
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Author:
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Pineda-Sanchez, Manuel
Puche-Panadero, Ruben
Riera-Guasp, Martín
Pérez-Cruz, Juan
Roger-Folch, José
Pons Llinares, Joan
Climente Alarcón, Vicente
Antonino-Daviu, J.
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UPV Unit:
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Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica
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Issued date:
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Abstract:
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[EN] The diagnosis of induction motors through the spectral analysis of the stator current allows for the online identification of different types of faults. One of the major difficulties of this method is the strong ...[+]
[EN] The diagnosis of induction motors through the spectral analysis of the stator current allows for the online identification of different types of faults. One of the major difficulties of this method is the strong influence of the mains component of the current, whose leakage can hide fault harmonics, especially when the machine is working at very low slip. In this paper, a new method for demodulating the stator current prior to its spectral analysis is proposed, using the Teager-Kaiser energy operator. This method is able to remove the mains component of the current with an extremely low usage of computer resources, because it operates just on three consecutive samples of the current. Besides, this operator is also capable of increasing the signal-to-noise ratio of the spectrum, sharpening the spectral peaks that reveal the presence of the faults. The proposed method has been deployed to a PC-based offline diagnosis system and tested on commercial induction motors with broken bars, mixed eccentricity, and single-point bearing faults. The diagnostic results are compared with those obtained through the conventional motor current signature analysis method.
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Subjects:
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Bearing faults
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Broken-bar rotor faults
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Demodulation
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eccentricity faults
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Fault diagnosis
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Induction motor
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Motor current signature analysis
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Signal analysis
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Teager-Kaiser algorithm
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Copyrigths:
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Cerrado |
Source:
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IEEE Transactions on Energy Conversion. (issn:
0885-8969
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DOI:
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10.1109/TEC.2013.2279917
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Publisher:
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Institute of Electrical and Electronics Engineers
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Publisher version:
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http://doi.org/10.1109/TEC.2013.2279917
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Project ID:
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info:eu-repo/grantAgreement/MICINN//DPI2011-23740/ES/DESARROLLO DE TECNICAS DE DIAGNOSTICO DE AVERIAS INCIPIENTES EN AEROGENERADORES, MEDIANTE EL ANALISIS TIEMPO-FRECUENCIA DE MAGNITUDES ELECTRICAS/
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Thanks:
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This work was supported by the Spanish Ministerio de Ciencia e innovacion in the framework of the VI Plan Nacional de Investigacion Cientifica, Desarrollo e Innovacion Tecnologica 2008-2011 (Programa Nacional de proyectos ...[+]
This work was supported by the Spanish Ministerio de Ciencia e innovacion in the framework of the VI Plan Nacional de Investigacion Cientifica, Desarrollo e Innovacion Tecnologica 2008-2011 (Programa Nacional de proyectos de Investigacion Fundamental, project reference DPI2011-23740). Paper no. TEC-00187-2013.
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Type:
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Artículo
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