A NEW NETWORK FAULT LOCATION METHOD BASED ON (CBR/MBR)

摘要：

At present,it is general to apply a single AI(Artificial Intelligence) technology to fault diagnosis，the actual state cannot meet the whole demands of the exact fault identification and diagnosis. With regard to it ， a integrate fault location method is given after the study of the question about the network fault location. It can reduce the amount of information Presented to network oPerator by filtering out unnecessary or irrelevant events.Simultaneously, the semantic content of the information Presented can be increased by the correlation Process, hence helping to establish the underlying Problem or condition which Produced the events. This fault location method is divided into two phases: the initial alarm correlation and the potential alarm correlation. The typical alarm correlation methods are used to conduct a preliminary filtering in the initial alarm correlation. The integrate application of CBR (case based reasoning) and MBR(model based reasoning) further the network fault location in the potential alarm correlation. The network fault location method can settle the bottleneck to a certain extent and show good performance in fault location after the simulation test of the network fault location .

关键词： Network Fault Management Alarm Correlation CBR (Case-Based Reasoning) MBR(Model-Based Reasoning)

作者: Youchan Zhu Zengxin Liu

作者单位: Center of Information and Network Management,North China Electric Power University, Baoding 071003, Center of Information and Network Management, North China Electric Power University, Baoding 071003,

会议类型: 国际会议

会议名称: China-Ireland International Conference on Information and Communications Technologies 2008(2008 中国-爱尔兰信息与通信技术国际会议 CIICT 2008)

会议地点: 北京

会议语种:英文

页码: 1-5

在线出版日期: 2008-09-26（万方平台首次上网日期，不代表论文的发表时间）