Jabbar, Feryal Ibrahim (2023) Artificial intelligence based technique for single line to ground fault identification and arc extinguishment. Doctoral thesis, Universiti Tun Hussein Onn Malaysia.
Text
24p FERYAL IBRAHIM JABBAR.pdf Download (706kB) |
|
Text (Copyright Declaration)
FERYAL IBRAHIM JABBAR COPYRIGHT DECLARATION.pdf Restricted to Repository staff only Download (5MB) | Request a copy |
|
Text (Full Text)
FERYAL IBRAHIM JABBAR WATERMARK.pdf Restricted to Registered users only Download (5MB) | Request a copy |
Abstract
Single line-to-ground fault (SLGF) is the most common fault in the distribution network of the power system (PS). The disadvantage of this fault is to cause residual current (
Item Type: | Thesis (Doctoral) |
---|---|
Subjects: | T Technology > T Technology (General) |
Divisions: | Faculty of Electrical and Electronic Engineering > Department of Electrical Engineering |
Depositing User: | Mrs. Sabarina Che Mat |
Date Deposited: | 29 May 2024 02:25 |
Last Modified: | 29 May 2024 02:25 |
URI: | http://eprints.uthm.edu.my/id/eprint/11037 |
Actions (login required)
View Item |