东南大学学报（英文版）2022，Vol.38Issue(2)：137-144,8.DOI:10.3969/j.issn.1003-7985.2022.02.005
基于复杂网络和依赖关系的机电系统零部件重要性度量
Dependency-based importance measures of components in mechatronic systems with complex network theory
摘要
Abstract
To compensate for the limitations of previous studies,a complex network-based method is developed for determining importance measures,which combines the functional roles of the components of a mechatronic system and their topological positions.First,the dependencies among the components are well-represented and well-calculated.Second,a mechatronic system is modeled as a weighted and directional functional dependency network(FDN),in which the node weights are determined by the functional roles of components in the system and their topological positions in the complex network whereas the edge weights are represented by dependency strengths.Third,given that the PageRank algorithm cannot calculate the dependency strengths among components,an improved PageRank importance measure(IPIM)algorithm is proposed,which combines the node weights and edge weights of complex networks.IPIM also considers the importance of neighboring components.Finally,a case study is conducted to investigate the accuracy of the proposed method.Results show that the method can effectively determine the importance measures of components.关键词
重要性度量/机电系统/依赖关系/复杂网络理论Key words
importance measure/mechatronic system/dependency/complex network theory分类
信息技术与安全科学引用本文复制引用
尹勇,王术新..基于复杂网络和依赖关系的机电系统零部件重要性度量[J].东南大学学报（英文版）,2022,38(2):137-144,8.基金项目
The National Natural Science Foundation of China(No.51875429),General Program of Shenzhen Natural Science Foun-dation(No.JCYJ20190809142805521),Wenzhou Major Program of Scientific and Technological Innovation(No.ZG2021021). （No.51875429）
