POWER TRANSFORMER FAULTS DIAGNOSIS USING UNDESTRUCTIVE METHODS (ROGER AND IEC) AND ARTIFICIAL NEURAL NETWORK FOR DISSOLVED GAS ANALYSIS APPLIED ON THE FUNCTIONAL TRANSFORMER IN THE ALGERIAN NORTH-EASTERN: A COMPARATIVE STUDY

Veuillez utiliser cette adresse pour citer ce document : http://dspace.univ-bouira.dz:8080/jspui/handle/123456789/12463

Affichage complet

Élément Dublin Core	Valeur	Langue
dc.contributor.author	Mellah, Hacene	-
dc.contributor.author	Bouchaoui, Lahcene	-
dc.contributor.author	Hemsas, Kamel Eddine	-
dc.contributor.author	Benlahneche, Saadeddine	-
dc.date.accessioned	2022-03-27T09:18:14Z	-
dc.date.available	2022-03-27T09:18:14Z	-
dc.date.issued	2021	-
dc.identifier.uri	http://dspace.univ-bouira.dz:8080/jspui/handle/123456789/12463	-
dc.language.iso	fr	en_US
dc.publisher	Génie électrique et électromécanique	en_US
dc.subject	feed-forward neural networks ; IEC method	en_US
dc.subject	Rogers method	en_US
dc.title	POWER TRANSFORMER FAULTS DIAGNOSIS USING UNDESTRUCTIVE METHODS (ROGER AND IEC) AND ARTIFICIAL NEURAL NETWORK FOR DISSOLVED GAS ANALYSIS APPLIED ON THE FUNCTIONAL TRANSFORMER IN THE ALGERIAN NORTH-EASTERN: A COMPARATIVE STUDY	en_US
dc.type	Article	en_US
Collection(s) :	Articles

Fichier(s) constituant ce document :

Fichier	Description	Taille	Format
arcticle 13.pdf		766,22 kB	Adobe PDF	Voir/Ouvrir