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The use of a Multi-label Classification Framework for the Detection of Broken Bars and Mixed Eccentricity Faults based on the Start-up Transient

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The use of a Multi-label Classification Framework for the Detection of Broken Bars and Mixed Eccentricity Faults based on the Start-up Transient

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Georgoulas, G.; Climente Alarcon, V.; Antonino-Daviu, J.; Tsoumas, IP.; Stylios, CD.; Arkkio, A.; Nikolakopoulos, G. (2016). The use of a Multi-label Classification Framework for the Detection of Broken Bars and Mixed Eccentricity Faults based on the Start-up Transient. IEEE Transactions on Industrial Informatics. 13(2):625-634. doi:10.1109/TII.2016.2637169

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/93328

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Title: The use of a Multi-label Classification Framework for the Detection of Broken Bars and Mixed Eccentricity Faults based on the Start-up Transient
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica
Issued date:
Abstract:
[EN] In this article a data driven approach for the classification of simultaneously occurring faults in an induction motor is presented. The problem is treated as a multi-label classification problem with each label ...[+]
Subjects: Time-frequency analysis , Bars , Transient analysis , Induction motors , Continuous wavelet transforms , Fault detection , Informatics
Copyrigths: Reserva de todos los derechos
Source:
IEEE Transactions on Industrial Informatics. (issn: 1551-3203 )
DOI: 10.1109/TII.2016.2637169
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: http://doi.org/10.1109/TII.2016.2637169
Project ID: info:eu-repo/grantAgreement/EC/H2020/636834/EU
Thanks:
This work was supported in part by the Spanish MINECO and 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 ...[+]
Type: Artículo

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