RESEARCH ARTICLE

Isomorphism analysis on generalized modules oriented to the distributed parameterized intelligent product platform

  • Shasha ZENG ,
  • Weiping PENG ,
  • Tiaoyu LEI
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  • Hubei Key Laboratory of Waterjet Theory and New Technology, School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China

Received date: 18 Feb 2019

Accepted date: 23 Jun 2019

Published date: 15 Mar 2020

Copyright

2019 Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature

Abstract

The distributed parameterized intelligent product platform (DPIPP) contains many agents of a product minimum approximate autonomous subsystem (generalized module). These distributed agents communicate, coordinate, and cooperate using their knowledge and skills and eventually accomplish the design for mass customization in a loosely coupled environment. In this study, a new method of isomorphism analysis on generalized modules oriented to DPIPP is proposed. First, on the basis of the bill of material partition and generalized module mining, the parameters of the main characteristics are extracted to construct the main characteristic parameter matrix. Second, similarity calculation of generalized modules is realized by improving the clustering using representatives algorithm, and isomorphism model sets are obtained. Generalized modules with a similar structure are combined to complete the isomorphism analysis. The effectiveness of the proposed method is verified by taking high- and medium-pressure valve data as an example.

Cite this article

Shasha ZENG , Weiping PENG , Tiaoyu LEI . Isomorphism analysis on generalized modules oriented to the distributed parameterized intelligent product platform[J]. Frontiers of Mechanical Engineering, 2020 , 15(1) : 12 -23 . DOI: 10.1007/s11465-019-0555-9

Acknowledgement

This work was supported by the National Natural Science Foundation of China (Grant Nos. 51505343 and 51705374), and the China Postdoctoral Science Foundation (Grant No. 2017M622509). The authors would like to thank the editors and the reviewers for their insightful comments and helpful suggestions to improve the manuscript.
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