文章摘要
田述栋,刘崇屹,宋代宗.基于贝叶斯网络的某型导弹状态评估[J].,2019,34(3):317-322
基于贝叶斯网络的某型导弹状态评估
State Evaluation of A Certain Type of Missile Based on Bayesian Network
  
DOI:10.7682/j.issn.1673-1522.2019.03.010
中文关键词: 贝叶斯网络  云模型  状态评估  融合信息
英文关键词: Bayesian network  cloud model  state evaluation  fused information
基金项目:
作者单位
田述栋 91049部队,山东青岛 266102 
刘崇屹 91049部队,山东青岛 266102 
宋代宗 91049部队,山东青岛 266102 
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中文摘要:
      :针对传统“是非制”状态评判方法过于粗略的问题,将某型导弹状态重新细划为“优”、“良”、“中”、“差”和“故障”5个等级。在充分考虑导弹定量信息和定性信息的基础上,结合云模型建立了多状态信息融合的贝叶斯网络模型,提出了基于贝叶斯网络的状态评估方法,以期为装备质量的科学有效管理提供技术支撑。
英文摘要:
      Aiming at the problems of the traditional missile state evaluation method, the state of a certain type of missilewas subdivided into five levels, namely‘excellent, good, medium, poor and failure’. On the basis of full consideration of quantitative information and qualitative information of missile, a Bayesian network model of multi-state fused informationwas established combined with cloud model. The state evaluation method based on Bayesian network was thus proposed inorder to provide technical support for the scientific and effective management of weapon quality.
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