Reliability Modeling and Analysis of Command and Control Network Based on Dynamic Bayes-GO Method

H. Mu, Hong-Mei Yan, X. Yi, Yuan-Yuan Yang, Guang-Liang Chen
{"title":"Reliability Modeling and Analysis of Command and Control Network Based on Dynamic Bayes-GO Method","authors":"H. Mu, Hong-Mei Yan, X. Yi, Yuan-Yuan Yang, Guang-Liang Chen","doi":"10.1109/SDPC.2019.00111","DOIUrl":null,"url":null,"abstract":"A The combat command and control system is the nerve center to carry out joint operations. It is an important part of military operations in the information age and plays the role of \"amplification multiplier\" in the enemy operations. In this paper, a combat command network system was taken as the research object, and the reliability modeling and analysis of the combat command network were conducted based on dynamic Bayes-GO method. Firstly, the mapping rules for transforming common operators, type 18A and type 20 operators in GO method into dynamic Bayesian networks are given. Then, the task of the brigade command vehicle 2 commanding the combat vehicle 5 to strike the target in a combat command network was modeled and analyzed. Finally, the dynamic availability curve of the system within t = 300h and the availability corresponding to the system at each moment are calculated, which can enable the combat commander to clearly judge the reliability of the system in successfully hitting the target at each moment, thus the other combat equipment can be better dispatched for cooperative operations.","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SDPC.2019.00111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

A The combat command and control system is the nerve center to carry out joint operations. It is an important part of military operations in the information age and plays the role of "amplification multiplier" in the enemy operations. In this paper, a combat command network system was taken as the research object, and the reliability modeling and analysis of the combat command network were conducted based on dynamic Bayes-GO method. Firstly, the mapping rules for transforming common operators, type 18A and type 20 operators in GO method into dynamic Bayesian networks are given. Then, the task of the brigade command vehicle 2 commanding the combat vehicle 5 to strike the target in a combat command network was modeled and analyzed. Finally, the dynamic availability curve of the system within t = 300h and the availability corresponding to the system at each moment are calculated, which can enable the combat commander to clearly judge the reliability of the system in successfully hitting the target at each moment, thus the other combat equipment can be better dispatched for cooperative operations.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于动态Bayes-GO方法的指挥控制网络可靠性建模与分析
A作战指挥控制系统是开展联合作战的神经中枢。它是信息时代军事行动的重要组成部分,在敌人行动中起着“放大倍增器”的作用。本文以某作战指挥网络系统为研究对象,基于动态Bayes-GO方法对作战指挥网络进行了可靠性建模与分析。首先,给出了将GO方法中的普通算子、18A型算子和20型算子转化为动态贝叶斯网络的映射规则;然后,对旅指挥车2指挥战车5在作战指挥网络中打击目标的任务进行了建模和分析。最后,计算出t = 300h内系统的动态可用性曲线和各时刻系统对应的可用性,使作战指挥员能够清晰地判断系统在各时刻成功命中目标的可靠性,从而更好地调度其他作战装备进行协同作战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The Reliability Optimization Allocation Method of Control Rod Drive Mechanism Based on GO Method Lubrication Oil Degradation Trajectory Prognosis with ARIMA and Bayesian Models Algorithm for Measuring Attitude Angle of Intelligent Ammunition with Magnetometer/GNSS Estimation of Spectrum Envelope for Gear Motor Monitoring Using A Laser Doppler Velocimeter Reliability Optimization Allocation Method Based on Improved Dynamic Particle Swarm Optimization
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1