摘要
引入一种基于动态贝叶斯网络理论的方法,提出了动态贝叶斯网络可靠性建模分析技术,弥补了传统方法的局限性。在建模方面,利用贝叶斯网络能有效刻画系统动态行为,建立了系统任务可靠性数学模型,运用Matlab中的BNT工具及语言,输入有关部件的故障率,实现襟翼系统动态可靠性仿真。结果表明,动态贝叶斯网络在飞机襟翼系统可靠性分析上的应用能够避免状态空间爆炸,减少非根节点条件概率表的维数,提高运算效率以及显著改善计算精确度。
In order to solve the flap system dynamic issues on aircraft during the reliability analysis and maintenance interval, a method based on the Dynamic Bayesian Network was introduced. The proposal modeling technology avoided the limitations of the traditional method. It can effectively describe the dynamic behavior of a system while modeling. The establishment of the reliability model of the system task and the application of Matlab BNT tool to input the related components fault rate eventually enable the flap system reliability simulation. The results show that Dynamic Bayesian Network applications on the aircraft flap system reliability analysis can reduce the state space explosion problem, reduce the number of non-root-dimensional conditional probability table, improve operational efficiency and the calculation accuracy significantly.
作者
陈锐
CHEN Rui(Shanghai Aircraft Customer Service Co.,Ltd., Shanghai 200241, China)
出处
《兵器装备工程学报》
CAS
北大核心
2019年第A01期144-149,共6页
Journal of Ordnance Equipment Engineering
关键词
襟翼系统
动态贝叶斯网络
可靠性分析
维护间隔
flap system
dynamic Bayesian network
reliability analysis
maintenance interval
