RUO Home

Repositorio Institucional de la Universidad de Oviedo

View Item 
  •   RUO Home
  • Producción Bibliográfica de UniOvi: RECOPILA
  • Artículos
  • View Item
  •   RUO Home
  • Producción Bibliográfica de UniOvi: RECOPILA
  • Artículos
  • View Item
    • español
    • English
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browse

All of RUOCommunities and CollectionsBy Issue DateAuthorsTitlesSubjectsxmlui.ArtifactBrowser.Navigation.browse_issnAuthor profilesThis CollectionBy Issue DateAuthorsTitlesSubjectsxmlui.ArtifactBrowser.Navigation.browse_issn

My Account

LoginRegister

Statistics

View Usage Statistics

RECENTLY ADDED

Last submissions
Repository
How to publish
Resources
FAQs

High-Frequency Carrier-Signal Voltage Selection for Stator Winding Fault Diagnosis in Inverter-Fed AC Machines

Author:
Briz del Blanco, FernandoUniovi authority; Degner, Michael W.; García Fernández, PabloUniovi authority; Díez González, Alberto BenjamínUniovi authority
Publication date:
2008
Publisher version:
http://dx.doi.org/10.1109/TIE.2008.926773
Citación:
IEEE Transactions on Industrial Electronics, 55(12), p. 4181-4190 (2008); doi:10.1109/TIE.2008.926773
Descripción física:
p. 4181-4190
URI:
http://hdl.handle.net/10651/23726
ISSN:
0278-0046
Identificador local:

20140623

DOI:
10.1109/TIE.2008.926773
Patrocinado por:

This work was supported in part by the Research, Technological Development and Innovation Program of the Spanish Ministry of Science and Education–ERDF under Grant MEC-ENE2007-67842-C03-01, in part by the University of Oviedo, and in part by Ford Motor Company

Collections
  • Artículos [32083]
Files in this item
Compartir
Exportar a Mendeley
Estadísticas de uso
Estadísticas de uso
Metadata
Show full item record
Página principal Uniovi

Biblioteca

Contacto

Facebook Universidad de OviedoTwitter Universidad de Oviedo
The content of the Repository, unless otherwise specified, is protected with a Creative Commons license: Attribution-Non Commercial-No Derivatives 4.0 Internacional
Creative Commons Image