A Novel Safety Analysis Method of Hybrid System on Hybrid Bayesian Network

被引：0

作者：

Fang B.-W. ^{[1
,2
]}

Huang Z.-Q. ^{[1
]}

Wang Y. ^{[1
]}

Li Y. ^{[1
]}

机构：

[1] College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, Jiangsu

[2] Department of Electronics and Information, Anhui Vocational College of Finance and Trade, Hefei, 230601, Anhui

来源：

Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2017年 / 45卷 / 12期

关键词：

Dynamic fault tree; Hybrid Bayesian network; Hybrid system; Safety analysis;

D O I：

10.3969/j.issn.0372-2112.2017.12.010

中图分类号：

学科分类号：

摘要：

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. © 2017, Chinese Institute of Electronics. All right reserved.

引用

页码：2896 / 2902

页数：6

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