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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Main Author: | Rosli, Ruzaini |
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Format: | Thesis |
Language: | English |
Published: |
2015
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/53960/1/RuzainiRosliMFKE2015.pdf |
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