Ship-Aircraft Joint Situation Assessment by Using Fuzzy Dynamic Bayesian Network

被引:0
|
作者
Yu Jinyong [1 ]
Lu Keke [1 ]
Wang Wenjing [2 ]
机构
[1] Naval Aeronaut & Astronaut Univ, Yantai, Peoples R China
[2] Sci & Technol Electroopt Control Lab, Luoyang, Peoples R China
来源
PROCEEDINGS OF 2017 IEEE INTERNATIONAL CONFERENCE ON UNMANNED SYSTEMS (ICUS) | 2017年
关键词
Ship-Aircraft Co-operation; Situation Assessment; Fuzzy Dynamic Bayesian Network;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper studies the key technology - target threat assessment technology for naval ship-aircraft formation command decision. Firstly, the basic knowledge and function model of target threat assessment are introduced. Then, the discrete fuzzy dynamic Bayesian network is used to model and simulate the target threat assessment of sea battlefield, and the simulation verification and analysis are given. The proposed method can well overcome the subjectivity and uncertainty brought by expert evaluation and improve the accuracy and adaptability of threat assessment.
引用
收藏
页码:220 / 224
页数:5
相关论文
共 50 条
  • [41] Network security situation analysis based on a dynamic Bayesian network and phase space reconstruction
    Pu Zaiyi
    JOURNAL OF SUPERCOMPUTING, 2020, 76 (02): : 1342 - 1357
  • [42] Comparison of dynamic Bayesian network approaches for online diagnosis of aircraft system
    Jin-song Yu
    Wei Feng
    Di-yin Tang
    Hao Liu
    Journal of Central South University, 2016, 23 : 2926 - 2934
  • [43] Comparison of dynamic Bayesian network approaches for online diagnosis of aircraft system
    于劲松
    冯威
    唐荻音
    刘浩
    JournalofCentralSouthUniversity, 2016, 23 (11) : 2926 - 2934
  • [44] Dynamic Bayesian network for aircraft wing health monitoring digital twin
    MahaDeVan, Sankaran (sankaran.mahadevan@vanderbilt.edu), 1600, AIAA International, 12700 Sunrise Valley Drive, Suite 200Reston, VA, Virginia, Virginia 20191-5807, United States (55):
  • [45] Dynamic Bayesian Network for Aircraft Wing Health Monitoring Digital Twin
    Li, Chenzhao
    Mahadevan, Sankaran
    Ling, You
    Choze, Sergio
    Wang, Liping
    AIAA JOURNAL, 2017, 55 (03) : 930 - 941
  • [46] Dynamic Process Safety Assessment Using Adaptive Bayesian Network with Loss Function
    Amin, Md. Tanjin
    Khan, Faisal
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2022, : 16799 - 16814
  • [47] Improved Dynamic Bayesian Networks in Sea-battlefield Situation Assessment
    Yu, Yongtao
    Ding, Ying
    MATERIALS RESEARCH AND APPLICATIONS, PTS 1-3, 2014, 875-877 : 2190 - +
  • [48] Dynamic Process Safety Assessment Using Adaptive Bayesian Network with Loss Function
    Amin, Md. Tanjin
    Khan, Faisal
    Industrial and Engineering Chemistry Research, 2022, 61 (45): : 16799 - 16814
  • [49] Sea-battlefield Situation Assessment Based on a New Method Combining Dynamic Bayesian Network with Pattern Matching
    Ma, Jun
    Liu, Li
    2014 IEEE CHINESE GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC), 2014, : 1764 - 1769
  • [50] A Lane Assessment Method Using Visual Information Based on a Dynamic Bayesian Network
    Popescu, Voichita
    Nedevschi, Sergiu
    Danescu, Radu
    Marita, Tiberiu
    JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 19 (03) : 225 - 239