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Development of a Data-Driven Approach for Permanent Fault Location in Underground Power Cables

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dc.contributor.advisorKo, Seok-Bum
dc.contributor.advisorChung, Tony
dc.contributor.committeeMemberLiang, Xiaodong
dc.contributor.committeeMemberSaadat Mehr, Aryan
dc.creatorTeimourzadeh, Hamid
dc.date.accessioned2024-03-25T18:38:11Z
dc.date.copyright2023
dc.date.created2024-01
dc.date.issued2024-03-25
dc.date.submittedJanuary 2024
dc.date.updated2024-03-25T18:38:11Z
dc.description.abstract
This item is under an embargo. Access to the abstract will not be permitted until 2025-03-25
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/10388/15529
dc.language.isoen
dc.subjectConvolutional Neural Network, Underground Cables, Medium Voltage Cables, High Voltage Cables
dc.titleDevelopment of a Data-Driven Approach for Permanent Fault Location in Underground Power Cables
dc.typeThesis
dc.type.materialtext
local.embargo.lift2025-03-25
local.embargo.terms2025-03-25
thesis.degree.departmentElectrical and Computer Engineering
thesis.degree.disciplineElectrical Engineering
thesis.degree.grantorUniversity of Saskatchewan
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.Sc.)

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