%0 Journal Article
%T Bayesian Networks Based Alarm Correlation and Fault Diagnosis in Communication Networks<br>基于贝叶斯网络的通信网告警相关性和故障诊断模型
%A Deng Xin
%A Meng Luo-ming
%A <br>邓歆
%A 孟洛明
%J 电子与信息学报
%D 2007
%I 
%X This paper proposes the alarm correlation and fault identification based on Bayesian networks in communication networks. At first, the basic concepts of Bayesian networks are introduced. Then the paper presents an approach for modeling large communication networks that are divided into their constituting sub-networks. And the causal relation is used to model the functional relationship among the sub-networks. The paper discusses how to construct Bayesian networks from the causal relation and presents a distributed alarm correlation framework based on CORBA. Finally, the realization and results of alarm correlation and fault identification is discussed in SDH over DWDM systems. The experimentation has proved that using Bayesian network based alarm correlation is benefit to detect and localize the root faults in communication networks.
%K Fault management
%K Alarm correlation
%K Fault propagation model
%K Bayesian networks<br>故障管理
%K 告警相关性
%K 故障传播模型
%K 贝叶斯网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=5B9D6ECCB5DF9706&yid=A732AF04DDA03BB3&vid=771469D9D58C34FF&iid=94C357A881DFC066&sid=7CCBDF94263DBB99&eid=2E45C5B3364EA9F3&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=3&reference_num=7