Design of equipment health monitoring system based on digital twin

Chengyu Li, Hongwei Guo*, Yihui Gong, Zhaoting Yuan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the development of the equipment maintenance, equipment health monitoring has become the focus of maintenance technology. Aiming at the spatiotemporal uncertainty of multi-factor coupling and failure in equipment health monitoring, a health monitoring system based on PLM using digital twin is proposed. Firstly, the system architecture and main functions are designed according to the characteristics of the health state of large complex equipment and the characteristics of digital twin technology. Secondly, the key technologies are proposed such as data converging, construct model, and prognose health in the digital twin monitoring system to ensure that the system can realize equipment health. Finally, a case study of TBM is proposed to verify the monitoring technology.

Original languageEnglish
Title of host publicationSecond International Conference on Electronic Information Technology, EIT 2023
EditorsWendong Xiao, Lu Leng
PublisherSPIE
ISBN (Electronic)9781510666610
DOIs
Publication statusPublished - 2023
Event2nd International Conference on Electronic Information Technology, EIT 2023 - Wuhan, China
Duration: 31 Mar 20232 Apr 2023

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12719
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference2nd International Conference on Electronic Information Technology, EIT 2023
Country/TerritoryChina
CityWuhan
Period31/03/232/04/23

Keywords

  • Complex Equipment
  • Digital Twin
  • Health Monitoring
  • Product Limit Management

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