JCC> Vol.2 No.9, July 2014

Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia
Malaysia Japan International Institute of Technology, Universiti Tekonologi Malaysia, Kuala Lumpur, Malaysia

 

Copyright © 2014 Zahriah Binti Sahri, Rubiyah Binti Yusof et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article

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Sahri, Z. and Yusof, R. (2014) Support Vector Machine-Based Fault Diagnosis of Power Transformer Using k Nearest-Neighbor Imputed DGA Dataset. Journal of Computer and Communications, 2, 22-31. doi: 10.4236/jcc.2014.29004.

 

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