Artificial neural networks and genetic algorithm for transformer winding/insulation faults
This paper presents an application of Artificial Neural Network and Genetic Algorithm for transformer winding/insulation faults diagnosed using Dissolved Gas in Oil Analysis. A back propagation training method is applied in neural network to detect the faults without cellulose involvement. Genetic A...
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Format: | Conference or Workshop Item |
Published: |
2008
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Online Access: | http://eprints.utp.edu.my/479/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-62449167627&partnerID=40&md5=d2e1f283b0ba197ba105a278ea3d021d http://eprints.utp.edu.my/479/ |
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