电子学报2017，Vol.45Issue(12)：2896-2902,7.DOI:10.3969/j.issn.0372-2112.2017.12.010
基于混合贝叶斯网络的混合系统安全性分析方法
A Novel Safety Analysis Method of Hybrid System on Hybrid Bayesian Network
摘要
Abstract
The safety analysis model of critical system is essentially a mixed model of both discrete variables and continuous variables.The traditional analysis methods can only deal with the system based on discrete distribution or exponential distribution,so these methods are incapable of analyzing the safety of the hybrid system.To solve the problem,this paper presents a novel safety analysis method of hybrid system on hybrid Bayesian network(HBN).First,by using the Dirac function and unit step function to represent the deterministic relation and timing sequence of nodes in DFT respectively,we convert the DFT into a Bayesian network(BN).Second,The HBN with k-piece and n-degree polynomials is proposed to represent the DFT,in which the different failure distributions of nodes are fitted by piecewise polynomial functions.Finally,the inference algorithm of HBN is proposed.The experimental results show that the presented method can effectively solve the safety analysis of hybrid system.关键词
混合系统/动态故障树/混合贝叶斯网络/安全性分析Key words
hybrid system/dynamic fault tree/hybrid Bayesian network/safety analysis分类
信息技术与安全科学引用本文复制引用
房丙午,黄志球,王勇,李勇..基于混合贝叶斯网络的混合系统安全性分析方法[J].电子学报,2017,45(12):2896-2902,7.基金项目
国家863高技术研究发展计划(No.2015AA015303) （No.2015AA015303）
国家自然科学基金(No.61272083,No.61562087) （No.61272083,No.61562087）
安徽省高校自然科学基金重点项目(No.KJ2017A859) （No.KJ2017A859）
安徽省高校学科(专业)优秀拔尖人才学术资助计划(No.gxbjZD32) （专业）
