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

• Main Author: Rosli, Ruzaini
• Format: Thesis
• Language: English
• Published: 2015
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• 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

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...