基于贝叶斯网络的声呐系统战场损伤评估及修复模型

孙开艳, 刘旺锁, 王平波

孙开艳, 刘旺锁, 王平波. 基于贝叶斯网络的声呐系统战场损伤评估及修复模型[J]. 中国舰船研究, 2009, 4(3): 62-65. DOI: 10.3969/j.issn.1673-3185.2009.03.014
引用本文: 孙开艳, 刘旺锁, 王平波. 基于贝叶斯网络的声呐系统战场损伤评估及修复模型[J]. 中国舰船研究, 2009, 4(3): 62-65. DOI: 10.3969/j.issn.1673-3185.2009.03.014
Sun Kaiyan, Liu Wangsuo, Wang Pingbo. The Model for Damage Assessment and Repair of the Sonar System in Battlefield Based on Bayesian Networks[J]. Chinese Journal of Ship Research, 2009, 4(3): 62-65. DOI: 10.3969/j.issn.1673-3185.2009.03.014
Citation: Sun Kaiyan, Liu Wangsuo, Wang Pingbo. The Model for Damage Assessment and Repair of the Sonar System in Battlefield Based on Bayesian Networks[J]. Chinese Journal of Ship Research, 2009, 4(3): 62-65. DOI: 10.3969/j.issn.1673-3185.2009.03.014

基于贝叶斯网络的声呐系统战场损伤评估及修复模型

详细信息
    作者简介:

    孙开艳(1981-),男,硕士研究生。研究方向:水声装备及其作战效能研究。刘旺锁(1965-),男,副教授,硕士生导师。研究方向:水声装备王平波(1976-),男,博士研究生。研究方向:水声信号处理

  • 中图分类号: E92

The Model for Damage Assessment and Repair of the Sonar System in Battlefield Based on Bayesian Networks

知识共享许可协议
基于贝叶斯网络的声呐系统战场损伤评估及修复模型孙开艳,采用知识共享署名4.0国际许可协议进行许可。
  • 摘要: 为了解决战场环境下的声呐系统损伤评估及修复(SSBDAR)问题,本文研究了战场损伤评估及修复模型。针对舰艇声呐系统战场损伤评估的因果推理特性,建立了基于贝叶斯网络的战场损伤评估模型,提出了基于贝叶斯网络的评估流程,给出了基于贝叶斯网络的评估决断算法。该模型利用贝叶斯网络对各评估修复节点进行分析,能够解决损伤信息不确定性,而且充分利用舰艇声呐系统各节点的损伤信息,提高了模型评估及修复效率,是解决舰艇声呐系统战场损伤评估及修复问题的一个有效途径。
    Abstract: This paper proposes a model in order to solve the problem of Sonar System Battlefield Damage Assessment and Repair (SSBDAR) in battlefields. According to causal reasoning of sonar system for warships, a battlefield damage evaluation model is developed based on Bayesian networks and the related evaluation procedure is put forward, as well as the related algorithm for decision-making is presented. With this model, each repair site is evaluated and the uncertainty of damage information is determined. This can make the process of evaluation and repair more efficient, and can be an effective way to handle such problems in the sonar system of warsh ips.
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出版历程
  • 收稿日期:  2009-01-13
  • 修回日期:  2009-02-22
  • 录用日期:  2009-06-19
  • 刊出日期:  2009-03-24

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