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[1] Yin Yong, Wang Shuxin,. Dependency-based importance measures of componentsin mechatronic systems with complex network theory [J]. Journal of Southeast University (English Edition), 2022, 38 (2): 137-144. [doi:10.3969/j.issn.1003-7985.2022.02.005]
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Dependency-based importance measures of componentsin mechatronic systems with complex network theory()
基于复杂网络和依赖关系的机电系统零部件重要性度量
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
38
Issue:
2022 2
Page:
137-144
Research Field:
Automation
Publishing date:
2022-06-20

Info

Title:
Dependency-based importance measures of componentsin mechatronic systems with complex network theory
基于复杂网络和依赖关系的机电系统零部件重要性度量
Author(s):
Yin Yong1;  2;  Wang Shuxin3
1School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China
2Shenzhen Research Institute, Wuhan University of Technology, Shenzhen 518000, China
3School of Intelligent Manufacturing and Electronic Engineering, Wenzhou University of Technology, Wenzhou 325035, China
尹勇1;  2;  王术新3
1武汉理工大学信息工程学院, 武汉430070; 2武汉理工大学深圳研究院, 深圳518000; 3温州理工学院智能制造与电子工程学院, 温州325035
Keywords:
importance measure;  mechatronic system;  dependency;  complex network theory
重要性度量;  机电系统;  依赖关系;  复杂网络理论
PACS:
TP271.4
DOI:
10.3969/j.issn.1003-7985.2022.02.005
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.
针对当前已有重要性度量研究的局限性, 提出一种基于复杂网络和依赖关系的机电系统中零部件重要性度量方法, 该方法结合了机电系统零部件在系统中的功能角色及其在复杂网络中的拓扑位置.首先, 探索了机电系统中零部件之间的依赖关系的表示和计算方法.其次, 将机电系统中的零部件建模为有向加权依赖复杂网络(FDN), 其中, 点权由零部件在系统中的功能角色及其在复杂网络中的拓扑位置共同确定, 而边权由零部件之间的依赖强度表示.考虑到PageRank算法无法计算零部件之间的依赖强度, 在PageRank算法的基础上提出一种IPIM算法, 该方法结合复杂网络的点权和边权, 并考虑了机电系统中邻居零部件的重要性.最后, 通过实例验证了所提方法的准确性, 该方法能够有效地确定机电系统中零部件的重要性.

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Memo

Memo:
Biography: Yin Yong(1976—), male, doctor, professor, yiyng_hust@126.com.
Foundation items: The National Natural Science Foundation of China(No. 51875429), General Program of Shenzhen Natural Science Foundation(No. JCYJ20190809142805521), Wenzhou Major Program of Scientific and Technological Innovation(No. ZG2021021).
Citation: Yin Yong, Wang Shuxin.Dependency-based importance measures of components in mechatronic systems with complex network theory[J].Journal of Southeast University(English Edition), 2022, 38(2):137-144.DOI:10.3969/j.issn.1003-7985.2022.02.005.
Last Update: 2022-06-20