School of Control and Computer Engineering, North China Electric Power University, Baoding, China
School of Control and Computer Engineering, North China Electric Power University, Baoding, China
State Grid Hebei Electric Power Research Institute, Shijiazhuang, China
State Grid Hebei Electric Power Research Institute, Shijiazhuang, China
School of Control and Computer Engineering, North China Electric Power University, Baoding, China
School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, China
Copyright © 2017 Gang Li, Changhai Yu, Hui Fan, Shuguo Gao, Yu Song, Yunpeng Liu 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
Li, G. , Yu, C. , Fan, H. , Gao, S. , Song, Y. and Liu, Y. (2017) Large Power Transformer Fault Diagnosis and Prognostic Based on DBNC and D-S Evidence Theory.
Energy and Power Engineering,
9, 232-239. doi:
10.4236/epe.2017.94B028.