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

  • College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China

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  • Received Date: January 13, 2009
  • Revised Date: February 22, 2009
  • Accepted Date: June 19, 2009
© 2009 The Authors. Published by Editorial Office of Chinese Journal of Ship Research. Creative Commons License
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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    • 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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    • References (10)
  • [1]
    SONG S J. Probability models for assessing the value of battle damage assessment in defense against sequential theater missile attacks [D]. Naval Postgraduate School，California，USA 1996.
    [2]
    GAVER D P，JACOBS P A. Probality models for battle damage assessment （Simple shoot-look-shooted beyond）[R]. AD-A329 197，Naval Postgraduate School，Aug 1997.
    [3]ROACH LISA K. A methodology for battle damage repair （BDR）analysis，AD-A276 083[R]. Army Research Laboratory，1994.
    [3]
    赵春华，严新平，赵新泽. 基于贝叶斯网络的内燃机故障诊断研究[J]. 武汉理工大学学报（交通科学与工程版），2005，29（3）：335-338.
    [4]
    MIL-PRF-63003B（TM）. Performance Specification Manuals，Technical： Battlefield Damage Assessment and Repair[S]. April 1998.
    [5]
    王润生，贾希胜，刘利，等. 战场损伤分析过程及存在问题研究[J]. 兵工学报，2004，25（2）：139-142.
    [6]
    陈健，孙冀辉，米双山.基于贝叶斯网络的装备部件战斗损伤研究[J].航空兵器，2005（4）：6-9.
    [7]
    Depantment of the Army technical manual. Battlefield Damage Assessment and Repair for Helicopter，Attack，AH-64A Apach [M]. Microfich，Supt of Docs US GPO，1996.
    [8]
    MURPHY K P. Dynamic bayesian networks： pepresentation，inference and learning[D]. PhD thesis. UC Berkeley，Computer Science Division，2002.
    [10]STEPHENSON T A. An introduction to bayesian network theory and usage[R]. IDIA P Research Reprot，2001.
    [9]
    肖秦琨，高嵩，高晓光. 动态贝叶斯网络推理学习理论及应用[M]. 北京：国防工业出版社，2007.
    [10]
    朱慧明，韩玉启. 贝叶斯多元统计推断理论[M]. 北京：科学出版社，2006.
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