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dc.contributor.advisorOsman, Ahmed
dc.contributor.advisorTariq, Usman
dc.contributor.authorLutfi, Abdulla Eyad
dc.date.accessioned2020-01-20T08:35:30Z
dc.date.available2020-01-20T08:35:30Z
dc.date.issued2019-12
dc.identifier.other35.232-2019.46
dc.identifier.urihttp://hdl.handle.net/11073/16557
dc.descriptionA Master of Science thesis in Electrical Engineering by Abdulla Eyad Lutfi entitled, “Transformer Differential Protection using Deep Convolutional Neural Networks”, submitted in December 2019. Thesis advisor is Dr. Ahmed Osman and thesis co-advisor is Dr. Usman Tariq. Soft copy is available (Thesis, Approval Signatures, Completion Certificate, and AUS Archives Consent Form).en_US
dc.description.sponsorshipCollege of Engineeringen_US
dc.description.sponsorshipDepartment of Electrical Engineeringen_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesMaster of Science in Electrical Engineering (MSEE)en_US
dc.subjectDifferential Protectionen_US
dc.subjectTransformer Inrush Currenten_US
dc.subjectCurrent Transformer Saturationen_US
dc.subjectArtificially Intelligent Digital Relaysen_US
dc.subjectConvolutional Neural Networksen_US
dc.titleTransformer Differential Protection using Deep Convolutional Neural Networksen_US
dc.typeThesisen_US


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