Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/1943
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBoualouana, Abdelkrim-
dc.contributor.authorBerrekia, Sid Ahmed-
dc.date.accessioned2019-11-03T12:28:28Z-
dc.date.available2019-11-03T12:28:28Z-
dc.date.issued2015-
dc.identifier.urihttp://di.univ-blida.dz:8080/xmlui/handle/123456789/1943-
dc.description4.621.1.280 ;82 p 30 cmfr_FR
dc.description.abstractThis dissertation considers the field of automated monitoring and diagnostics equipment to deal with an electric power grid. The objective of this study is to examine the impact of signal processing techniques on the electrical signals provided from electric power grid. Three different techniques were developed and tested in this dissertation: Recursive Discrete Fourier Transform, Adaptive Notch Filter and Kalman Filter.fr_FR
dc.language.isofrfr_FR
dc.publisherUniv Blida1fr_FR
dc.subjectDiscrète Récursive, le filtre adaptatif Notch et le Filtre de Kalman.fr_FR
dc.titleEstimation de la fréquence fondamentale d'un réseau électrique dans le contexte Smart-Gridfr_FR
Appears in Collections:Mémoires de Master

Files in This Item:
File Description SizeFormat 
NEW.PFE2015EstimationFrequence.pdf718,49 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.