Parameter identification for fault detection of power transformer using artificial neural network

Fault diagnosis is a challenging problem because there are numerous fault situations that can possibly occur to an electrical transformer. There are a lot of previous works done by researchers on fault diagnosis in power transformer but all of them used data from Dissolved Gas Analysis (DGA) as inpu...

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Bibliographic Details

Main Author:	Rosli, Ruzaini
Format:	Thesis
Language:	English
Published:	2015
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/53960/1/RuzainiRosliMFKE2015.pdf