• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2006, Vol. 28 ›› Issue (2): 36-38.

• 论文 • 上一篇    下一篇

一种网络环境中故障诊断与维修决策方法

陈琳 黄杰 龚正虎   

  • 出版日期:2006-02-01 发布日期:2010-05-20

  • Online:2006-02-01 Published:2010-05-20

摘要:

本文将贝叶斯网络引入到大型网络故障管理系统中,从贝叶斯网络推理模型与故障诊断和维修决策问题的一致性出发,提出了基于故障假设、观测和维修操作节点结构的DBN模型,并详细阐述了模型的内涵和故障诊断知识构成要素

关键词: 网络管理 故障诊断 维修决策 贝叶斯网络

Abstract:

This paper applies the Bayesian Network (BN) to large network management systems. By studying the consistency of the BN inference model, network fau lt diagnosis and maintenance decision, we propose a Diagnostic Bayesian Networks (DBN) model which consists of fault hypothesis nodes, observation nod des and maintenance nodes. Mathematical description and knowledge inseapes of DBN are given

Key words: network management, fault diagnosis;maintenance decision, Bayesian network