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

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Élément Dublin Core	Valeur	Langue
dc.contributor.author	Mellah, Hacene	-
dc.contributor.author	Bouchaoui, Lahcene	-
dc.contributor.author	Hemsas, Kamel Eddine	-
dc.date.accessioned	2022-03-27T10:20:53Z	-
dc.date.available	2022-03-27T10:20:53Z	-
dc.date.issued	2021	-
dc.identifier.uri	http://dspace.univ-bouira.dz:8080/jspui/handle/123456789/12466	-
dc.language.iso	en	en_US
dc.publisher	Electrical Machines and Apparatus	en_US
dc.subject	power transformers ; IEC method	en_US
dc.subject	feed-forward neural networks	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

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