Transformer incipient fault prediction using combined artificial neural network and various particle swarm optimisation techniques

Transformer incipient fault prediction using combined artificial neural network and various particle swarm optimisation techniques

It is important to predict the incipient fault in transformer oil accurately so that the maintenance of transformer oil can be performed correctly, reducing the cost of maintenance and minimise the error. Dissolved gas analysis (DGA) has been widely used to predict the incipient fault in power trans...

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Bibliographic Details
Main Authors: Illias, Hazlee Azil, Chai, X.R., Abu Bakar, A.H., Mokhlis, Hazlie
Format: Article
Language:English
Published: Public Library of Science 2015
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.um.edu.my/15704/1/Transformer_Incipient_Fault_Prediction_Using_Combined_Artificial_Neural_Network.pdf

Internet

http://eprints.um.edu.my/15704/1/Transformer_Incipient_Fault_Prediction_Using_Combined_Artificial_Neural_Network.pdf

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