- -

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

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

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

Show full item record

Georgoulas, G.; Climente Alarcón, 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. https://doi.org/10.1109/TII.2016.2637169

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

Files in this item

Item Metadata

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: Georgoulas, George Climente Alarcón, Vicente Antonino-Daviu, J. Tsoumas, Ioannis P. Stylios, Chrysostomos D. Arkkio, Antero Nikolakopoulos, George
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/Integrated Process Control based on Distributed In-Situ Sensors into Raw Material and Energy Feedstock/
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/
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

recommendations

 

This item appears in the following Collection(s)

Show full item record