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所属单位：计算机科学与技术学院/人工智能学院/软件学院

发表刊物：Tien Tzu Hsueh Pao

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.

ISSN号：0372-2112

是否译文：否

发表时间：2017-12-01

合写作者：Fang, Bing-Wu,王永亮,李勇

通讯作者：黄志球