北京航空航天大学学报 ›› 2004, Vol. 30 ›› Issue (11): 1092-1096.

• 论文 • 上一篇    下一篇

一种网络环境中的故障诊断模型

陈琳, 黄杰, 龚正虎   

  1. 国防科技大学 计算机学院 长沙 410073
  • 收稿日期:2004-06-25 出版日期:2004-11-30 发布日期:2010-09-24
  • 作者简介:陈 琳 (1976-),女,福建陇海人,博士生, chenlin@nudt.edu.cn.
  • 基金资助:

    国家973重点基础研究发展规划资助项目(2003CB314 802)

Model of network fault diagnosis

Chen Lin, Huang Jie, Gong Zhenghu   

  1. School of Computer, National University of Defense Technology, Changsha 410073, China
  • Received:2004-06-25 Online:2004-11-30 Published:2010-09-24

摘要: 结合故障诊断的需求和存在的问题,提出了一种以故障症状、故障假设、诊断操作和观测操作节点为基本元素,并具有网络结构的诊断模型.在该模型基础之上,遵循诊断过程独立的假设,解决实际诊断过程中操作依赖关系的问题,提出了一种基于诊断贝叶斯网络DBN(Diagnosis Bayesian Network)的故障诊断算法.同时通过引入观测操作,加快诊断的速度并且降低诊断代价.试验表明,与P/C更新算法比较,该算法能更有效地降低诊断代价,实现快速故障诊断,较好解决了操作依赖的复杂故障诊断问题.

Abstract: Network diagnosis problem aims to obtain compatible fault mode which c an explain symptoms by a set of actions. Some diagnosis models have been propose d, but their descriptions of the problem with dependent actions were not accurat e enough and the results are not very optimal. A DBN(diagnosis Bayesian network) model was presented that consisted of symptoms nodes, fault hypothesis nodes, d ia gnosis action nodes and observation nodes. It combined the general Bayesian netw ork and the requirements of fault diagnosis. Under the assumption of independent diagnosis process, a fault diagnosis algorithm based on DBN model was proposed. The algorithm took dependent actions into account. Observation nodes were introduced to achieve lower diagnosis cost. Experiments show that the fault diagnosis method based on DBN can reduce the diagnostic cost effectively and sol ve diagnosis problem under dependent actions condition preferably.

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