摘要
从复杂网络的角度对工业系统安全性问题进行研究。将复杂机电系统看成一个整体,引入小世界网络理论分析方法,探讨系统固有的网络拓扑结构特性及统计特征对故障传播的影响,并提出一种网络节点安全敏感性的评判准则。建立基于小世界聚类特性的故障分步扩散模型,同时确定网络节点之间的故障传播强度,并采用蚁群算法求得高风险的故障传播路径及相应的脆弱环节。最后通过均四甲苯生产系统来验证该方法的可行性,结果表明,该方法可以有效地找到系统中存在的脆弱点,为风险评估和维修决策提供重要依据。
The safety analysis of complex industrial system is studied fi＇om the complex network viewpoint. Considering the complex electromechanical system as an integrated unit, the effect of the system＇s topological characteristics on the prevalence of failure is analyzed by using the small world net theory, and the rules, which are capable of describing the safe sensitivity of the network nodes, are proposed. Subsequently, the failure grade diffusion model based on the small world clustering is established and the failure propagation intensity between the nodes is determined. The failure propagation paths with high risk and corresponding crisp nodes are found with the ant colony algorithm. Finally a durene production system is provided to illustrate the feasibility of the proposed method. The result shows that the proposed method can find the system crisp nodes efficiently, and can be used as a support next in risk assessment and maintenance decision.
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2008年第5期86-91,共6页
Journal of Mechanical Engineering
基金
国家高技术研究发展计划(863计划
2006AA04Z441)资助项目。
关键词
安全分析
小世界网络
故障扩散
传播强度
蚁群算法
Safety analysis Small world net Failure diffusion Propagation intensity Ant colony algorithm
