测试技术学报2025，Vol.39Issue(4)：424-429,6.DOI:10.62756/csjs.1671-7449.2025046
基于贝叶斯网络的弹载固态存储器可靠性分析方法
Reliability Method of Missile-Borne Solid-State Memory Based on Bayesian Network
摘要
Abstract
To optimize the process of calculating the reliability of bullet-borne solid-state memory and facilitate the design of predicting the overall system failure and reliability in the initial stage of research and development,a research method of fault tree analysis and the reliability of bullet-loaded solid-state memory based on a Bayesian network is proposed.In this method the fault tree model is transformed into a Bayesian network model according to the mapping rules,the bucket elimination method is introduced to factorize the joint probability chain,and the failure probability of each node combined with the bidirectional inference algorithm of the Bayesian network is calculated.The calculation results show that the method can quickly and efficiently identify the weak links of the system,predict the failure probability and the importance of the components,propose a redundancy design,improve the system reliability,and provide a reference for the development of bullet-borne solid-state memory in the future.关键词
可靠性/故障树/贝叶斯网络/桶消元法/失效概率Key words
reliability/fault tree/Bayesian networks/barrel elimination method/probability of failure分类
武器工业引用本文复制引用
宁弘扬,徐鹏,杨明..基于贝叶斯网络的弹载固态存储器可靠性分析方法[J].测试技术学报,2025,39(4):424-429,6.基金项目
国家自然科学基金资助项目(12272356) （12272356）
山西省基础研究计划资助项目(202203021211088) （202203021211088）
