基于贝叶斯网络的导弹系统可靠性评估

Yadong Guan, Xiaogang Li, Min Wang, Jianhua Ye
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引用次数: 0

摘要

战术导弹是一个由大量部件组成的复杂系统,具有高可靠性、长贮存寿命的特点。由于导弹样本的限制,传统的基于数理统计的建模和评估方法存在许多不足。因此,根据贝叶斯网络方法,运用失效分析的物理原理,建立了从部件到系统的评估模型。本文的工作主要包括以下内容。首先,对系统失效模式和敏感环境应力进行定性和定量分析,确定系统在工作时失效的主要影响因素;其次,根据系统功能建立系统功能流程图,将基于物理故障的数据划分为不同风格。根据试验结果,建立了似然函数。第三,以贝叶斯网络为基础,结合系统功能,建立了从部件到系统、从底层节点到高层节点的定性和定量贝叶斯网络模型。根据试验数据,对系统寿命参数进行了评估和验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reliability assessment of the Missile system based on Bayesian network
The Tactical Missile is a complex system with a large number of components, with characteristics of high reliability, long storage life. Due to the limitation of the samples of the missile, the traditional method of modeling and evaluating based on mathematical statistics has a lot of shortcomings. Therefore, according to the Bayesian network method, we use the principle of physics of failure analysis to establish the assessment model from the components to the system. The work of the paper mainly includes the following contents. First, the failure modes and the sensitive environmental stress are qualitatively and quantitatively analyzed to determine the main influencing factors of the system failure at work. Second, according to the system function to establish the system function flow chart, the data is divided into different styles based on the physics of failure. According to the test results, the likelihood function is established. Third, based on the Bayesian network and combined with the system function, the paper establishes the qualitative and quantitative Bayesian network model from the component to the system, from the bottom node to the high node. According to the test data, the evaluation and verification of the system life parameters are carried out.
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