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基于贝叶斯网络的通信网告警相关性和故障诊断模型

邓歆 孟洛明

邓歆, 孟洛明. 基于贝叶斯网络的通信网告警相关性和故障诊断模型[J]. 电子与信息学报, 2007, 29(5): 1182-1186. doi: 10.3724/SP.J.1146.2005.01290
引用本文: 邓歆, 孟洛明. 基于贝叶斯网络的通信网告警相关性和故障诊断模型[J]. 电子与信息学报, 2007, 29(5): 1182-1186. doi: 10.3724/SP.J.1146.2005.01290
Deng Xin, Meng Luo-ming. Bayesian Networks Based Alarm Correlation and Fault Diagnosis in Communication Networks[J]. Journal of Electronics & Information Technology, 2007, 29(5): 1182-1186. doi: 10.3724/SP.J.1146.2005.01290
Citation: Deng Xin, Meng Luo-ming. Bayesian Networks Based Alarm Correlation and Fault Diagnosis in Communication Networks[J]. Journal of Electronics & Information Technology, 2007, 29(5): 1182-1186. doi: 10.3724/SP.J.1146.2005.01290

基于贝叶斯网络的通信网告警相关性和故障诊断模型

doi: 10.3724/SP.J.1146.2005.01290

Bayesian Networks Based Alarm Correlation and Fault Diagnosis in Communication Networks

  • 摘要: 该文采用贝叶斯网络建立告警相关性和故障诊断模型。首先介绍了基于贝叶斯网络推理的基本概念。提出了通信网功能分层结构的思想,建立不同网络层次间的故障传播模型。详细讨论了从故障传播模型中构造贝叶斯网络,以及分布式告警相关性模型的实现框架。最后结合SDH over DWDM系统,具体分析了基于贝叶斯网络的告警相关性分析过程及实验结果。实验证明利用贝叶斯网络能够准确定位通信网根故障点。
  • Gardner R D and Harle D A. Methods and systems for alarm correlation. Global Telecommunications Conference, 1996. GLOBECOM '96. 'Communications: The Key to Global Prosperity, London, UK, 18-22 Nov., 1996, vol.1: 136-140.[2]Bouloutas A T, Calo S, and Finkel A. Alarm correlation and fault identification in communication networks[J].IEEE Trans. on Communications.1994, 42(2/3/4):523-533[3]Ekaette E U and Far B H. A framework for distributed fault management using intelligent software agents. IEEE CCECE 2003, Canadian Conference on Electrical and Computer Engineering, Canada, 4-7 May, 2003, vol.2: 797-800.[4]Steinder M and Sethi A S. End-to-end service failure diagnosis using belief networks. Network Operations and Management Symposium (NOMS), Florence, Italy, 2002: 375-390.[5]Russell S and Norving P. Artificial Intelligence: A Modern Approach (Second Edition). USA, Prentice-Hall, 2003: 540- 546.[6]Choi Jaesung, Choi Myungwhan, and Lee Sang-Hyuk. An alarm correlation and fault identification scheme based on OSI managed object classes. ICC '99. IEEE International Conference on Communications, Vancouver, BC, 6-10 June, 1999, vol.3: 1547-1551.[7]Li H, Yang S, and Baras J S. On system designs for distributed, extensible framework for network monitoring and control. Tech. Rep. CSHCN TR 2001-12, Center for Satellite and Hybrid Communication Networks, University of Maryland, 2001.
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出版历程
  • 收稿日期:  2005-10-11
  • 修回日期:  2006-03-20
  • 刊出日期:  2007-05-19

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