Please use this identifier to cite or link to this item:
http://repository.futminna.edu.ng:8080/jspui/handle/123456789/25096
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | SUBERU, Momoh Bello | - |
dc.date.accessioned | 2024-01-10T13:53:43Z | - |
dc.date.available | 2024-01-10T13:53:43Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/25096 | - |
dc.language.iso | en | en_US |
dc.title | APPLICATION OF ARTIFICIAL NEURAL NETWORK-BASED FAULT DIAGNOSIS ON 330kV TRANSMISSION LINES: (A CASE STUDY OF GWAGWALADA-KATAMPE TRANSMISSION LINE) | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Masters theses and dissertations |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
APPLICATION OF ARTIFICIAL NEURAL NETWORK-BASED FAULT.pdf | 1.41 MB | Adobe PDF | View/Open |
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