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...
| Κύριοι συγγραφείς: | , , , |
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| Μορφή: | Άρθρο |
| Γλώσσα: | English |
| Έκδοση: |
Public Library of Science
2015
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| Θέματα: | |
| Διαθέσιμο Online: | http://eprints.um.edu.my/15704/1/Transformer_Incipient_Fault_Prediction_Using_Combined_Artificial_Neural_Network.pdf |