Riera-Guasp, M.; Antonino-Daviu, J.; Pineda-Sanchez, M.; Puche-Panadero, R.; Pérez-Cruz, J. (2008). A General Approach for the Transient Detection of Slip-Dependent Fault Components Based on the Discrete Wavelet Transform. IEEE Transactions on Industrial Electronics. 12(55):4167-4180. https://doi.org/10.1109/TIE.2008.2004378
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/98644
Title:
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A General Approach for the Transient Detection of Slip-Dependent Fault Components Based on the Discrete Wavelet Transform
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Author:
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Riera-Guasp, Martín
Antonino-Daviu, J.
Pineda-Sanchez, Manuel
Puche-Panadero, Rubén
Pérez-Cruz, Juan
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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] In this paper, a general methodology based on the
application of discrete wavelet transform (DWT) to the diagnosis
of the cage motor condition using transient stator currents is
exposed. The approach is based on ...[+]
[EN] In this paper, a general methodology based on the
application of discrete wavelet transform (DWT) to the diagnosis
of the cage motor condition using transient stator currents is
exposed. The approach is based on the identification of characteristic
patterns introduced by fault components in the wavelet
signals obtained from the DWT of transient stator currents. These
patterns enable a reliable detection of the corresponding fault as
well as a clear interpretation of the physical phenomenon taking
place in the machine. The proposed approach is applied to the
detection of rotor asymmetries in two alternative ways, i.e., by
using the startup current and by using the current during plugging
stopping. Mixed eccentricities are also detected by means of the
transient-based methodology. This paper shows how the evolution
of other non-fault-related components such as the principal slot
harmonic (PSH) can be extracted with the proposed technique. A
compilation of experimental cases regarding the application of the
methodology to the previous cases is presented. Guidelines for the
easy application of the methodology by any user are also provided
under a didactic perspective.
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Subjects:
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Fault diagnosis
,
Induction motors
,
Transient analysis
,
Wavelet transforms
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Copyrigths:
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Reserva de todos los derechos
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Source:
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IEEE Transactions on Industrial Electronics. (issn:
0278-0046
)
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DOI:
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10.1109/TIE.2008.2004378
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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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https://doi.org/10.1109/TIE.2008.2004378
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Project ID:
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info:eu-repo/grantAgreement/EC/FP7/224233/EU/Power plants Robustification based On fault Detection and Isolation algorithms/
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Thanks:
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This work was supported by the European Community’s Seventh Framework Program FP7/2007-2013 under Grant Agreement 224233 (Research Project PRODI “Power plant Robustification based on fault Detection and Isolation algorithms”).[+]
This work was supported by the European Community’s Seventh Framework Program FP7/2007-2013 under Grant Agreement 224233 (Research Project PRODI “Power plant Robustification based on fault Detection and Isolation algorithms”).
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Type:
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Artículo
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