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基于复杂网络的制造系统脆弱性综合评估方法 被引量:7

Vulnerability assessment method for manufacturing system based on complex network
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摘要 针对现有制造系统脆弱性研究的不足,提出一种基于复杂网络的制造系统脆弱性综合评估方法。对制造系统复杂网络的节点、边、局域世界和网络生长模式进行定义,建立了对应的复杂网络模型;构造了制造系统脆弱性的评估框架,从结构脆弱性和功能脆弱性两个维度进行具体评价;基于系统复杂网络的拓扑特性评估其结构脆弱性,基于系统的功效性指标评估其功能脆弱性,综合两种脆弱性建立系统的整体脆弱性综合评价模型;以发动机装配制造系统为例,通过建立该系统的复杂网络模型,评估系统的脆弱性,验证了该方法的可行性,并给出了安全运行的合理建议。 Vulnerability analysis and assessment is a hotspot in the field of system security,but there are less research for vulnerability of manufacturing systems.Aiming at the shortcoming of manufacturing systems vulnerability research,a comprehensive vulnerability evaluation method for manufacturing system was presented based on complex network theory.By defining the node,edge,local world and network growth model,a complex network model of the manufacturing system was built.An evaluation framework for manufacturing system vulnerability was constructed,and the specific evaluation from topological vulnerability and functional vulnerability two dimensions were conducted.Based on topological characteristics of complex network,the structural vulnerability was evaluated;based on functional indicators of system,the functional vulnerability was specifically assessed.Thus,a comprehensive vulnerability evaluation model of manufacturing system was established.The engine assembly manufacturing system was taken as an example,by establishing the complex network model,the overall vulnerability of the proposed system was assessed,the feasibility was verified,and the corresponding suggestions were given for its safe operation.
作者 高贵兵 荣涛 岳文辉 GAO Guibing;RONG Tao;YUE Wenhui(College of mechanical and Electrical Engineering,Hunan University of Science and Technology, Xiangtan 411201,China)
出处 《计算机集成制造系统》 EI CSCD 北大核心 2018年第9期2288-2296,共9页 Computer Integrated Manufacturing Systems
基金 国家自然科学基金资助项目(51705149) 湖南省自然科学基金资助项目(2017JJ2124) 湖南省高等学校科学研究重点资助项目(14A046)~~
关键词 制造系统 复杂网络 脆弱性 评价 发动机装配制造系统 manufacturing system complex network vulnerability assessment engine assembly manufacturing system
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