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:
Online Access:http://eprints.utm.my/id/eprint/53960/1/RuzainiRosliMFKE2015.pdf
http://eprints.utm.my/id/eprint/53960/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:86224
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