Weighted Self-regulation Complex Network-Based Modeling and Key Nodes Identification of Multistage Assembling Process

  • Peng Zhu
  • Jian-bo YuEmail author
Conference paper


This paper proposed a weighted self-regulation variation propagation network (WSRVPN) modeling and key nodes identification method based on the complex network for multistage assembly process. Firstly, a self-regulation weighted variation transmission network is constructed through using actual machining error, quality characteristic information and assembly process requirements. Then, the weighted LeaderRank sorting algorithm is introduced to rank the importance of nodes in the network and find the key nodes. To ensure the final assembly’s quality by controlling the quality of critical nodes. The multistage assembling process of a bevel gear assembly is studied, which proves that the method can effectively model the complicated assembly deviation flow and identify the key weak points.


Complex network Key assembling features Key nodes identification Self-regulation 



This research was supported by the National Natural Science Foundation of China (No. 51375290, 71777173), the Fundamental Research Funds for Central Universities, and Shanghai Science.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Mechanical EngineeringTongji UniversityShanghaiChina

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