File(s) under embargo

Reason: Publisher requirement

6

month(s)

1

day(s)

until file(s) become available

Key technologies towards smart manufacturing based on swarm intelligence and edge computing

journal contribution
posted on 13.09.2021, 10:16 by Jianli Guo, Miguel Martinez-GarciaMiguel Martinez-Garcia
In recent years, the manufacturing industry has faced various global challenges. One of these challenges is the increasing frequent adjustment and reconfiguration of production lines, necessitated by the diversification of customer demands. To improve the processing efficiency after production line reconfiguration, this paper puts forward a group learning architecture towards intelligent equipment. With this architecture, swarm intelligence can be accomplished through group learning. From the perspective of edge intelligence, this paper addresses key technology issues within the areas of data acquisition and preprocessing, cyber-physical fusion, knowledge extraction and sharing, and equipment performance self-optimization. The proposed approaches are much more useful for improving the processing efficiency of the reconfigured production line.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

Computers and Electrical Engineering

Volume

92

Publisher

Elsevier

Version

AM (Accepted Manuscript)

Rights holder

© Elsevier

Publisher statement

This paper was accepted for publication in the journal Computers and Electrical Engineering and the definitive published version is available at https://doi.org/10.1016/j.compeleceng.2021.107119

Acceptance date

12/03/2021

Publication date

2021-03-27

Copyright date

2021

ISSN

0045-7906

eISSN

1879-0755

Language

en

Depositor

Dr Miguel Martinez Garcia. Deposit date: 7 September 2021

Article number

107119