Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2016, Vol. 39 ›› Issue (s1): 10-13.doi: 10.13190/j.jbupt.2016.s.003

• Papers • Previous Articles     Next Articles

Fault Diagnosis Technology Based on Minimum Entropy

WANG Yao, LIU Shi-dong, GUO Jing-hong   

  1. Research Institute of Information Telecommunication and Communications, State Grid Smart Grid Research Institute, Nanjing 210003, China
  • Received:2015-09-16 Online:2016-06-28 Published:2016-06-28

Abstract:

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.

Key words: electric power data network, noise, entropy, fault diagnosis

CLC Number: