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...
| Main Authors: | , , , |
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| Format: | Article |
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Public Library of Science
2015
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| Online Access: | http://www.ncbi.nlm.nih.gov/pubmed/26103634 http://www.ncbi.nlm.nih.gov/pubmed/26103634 http://eprints.um.edu.my/15704/1/Transformer_Incipient_Fault_Prediction_Using_Combined_Artificial_Neural_Network.pdf |