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Feature Extraction for the Prognosis of Electromechanical Faults in Electrical Machines through the DWT

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Feature Extraction for the Prognosis of Electromechanical Faults in Electrical Machines through the DWT

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Antonino-Daviu, J.; Riera-Guasp, M.; Pineda-Sanchez, M.; Pons Llinares, J.; Puche-Panadero, R.; Pérez-Cruz, J. (2009). Feature Extraction for the Prognosis of Electromechanical Faults in Electrical Machines through the DWT. International Journal of Computational Intelligence Systems. 2(2):158-167. https://doi.org/10.2991/ijcis.2009.2.2.7

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/99224

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Title: Feature Extraction for the Prognosis of Electromechanical Faults in Electrical Machines through the DWT
Author: Antonino-Daviu, J. Riera-Guasp, Martín Pineda-Sanchez, Manuel Pons Llinares, Joan Puche-Panadero, Rubén Pérez-Cruz, Juan
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica
Issued date:
Abstract:
[EN] Recognition of characteristic patterns is proposed in this paper in order to diagnose the presence of electromechanical faults in induction electrical machines. Two common faults are considered; broken rotor bars and ...[+]
Subjects: Electric machines , Fault diagnosis , Wavelet transform , Broken bars , Eccentricities
Copyrigths: Reserva de todos los derechos
Source:
International Journal of Computational Intelligence Systems. (issn: 1875-6883 )
DOI: 10.2991/ijcis.2009.2.2.7
Publisher:
Atlantis Press
Publisher version: https://doi.org/10.2991/ijcis.2009.2.2.7
Project ID:
info:eu-repo/grantAgreement/UPV//PAID-06-07-3180/
info:eu-repo/grantAgreement/EC/FP7/224233/EU/Power plants Robustification based On fault Detection and Isolation algorithms/
Thanks:
The research leading to these results has received funding from the European Community's Seventh Framework Programme FP7/2007-2013 under Grant Agreement n° 224233 (Research Project PRODI “Power plant Robustification based ...[+]
Type: Artículo

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