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...

詳細記述

書誌詳細

第一著者:	Rosli, Ruzaini
フォーマット:	学位論文
言語:	英語
出版事項:	2015
主題:	TK Electrical engineering. Electronics Nuclear engineering
オンライン･アクセス:	http://eprints.utm.my/53960/1/RuzainiRosliMFKE2015.pdf