%0 Journal Article
%A GUO Jing-hong
%A LIU Shi-dong
%A WANG Yao
%T Fault Diagnosis Technology Based on Minimum Entropy
%D 2016
%R 10.13190/j.jbupt.2016.s.003
%J Journal of Beijing University of Posts and Telecommunications
%P 10-13
%V 39
%N s1
%X <p>How to diagnose the fault of network is one of the problems in electric power data network. Currently, one of main factors that affect the accuracy of fault diagnosis in power integrated data network is the noise. However, there is almost no mention on the fault diagnosis method in the scheme, because it is difficult to improve the accuracy of fault diagnosis. A new fault diagnosis technique based on minimum entropy was proposed. Firstly, the information gain of each node is calculated according to the probability of node failure probability and the occurrence probability of each node. Then, the nodes are considered as suspicious nodes. Finally, the nodes are considered as nodes.</p>
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2016.s.003