Design of equipment health monitoring system based on digital twin

Chengyu Li; Hongwei Guo; Yihui Gong; Zhaoting Yuan

doi:10.1117/12.2685450

15 August 2023 Design of equipment health monitoring system based on digital twin

Chengyu Li, Hongwei Guo, Yihui Gong, Zhaoting Yuan

Proceedings Volume 12719, Second International Conference on Electronic Information Technology (EIT 2023); 1271907 (2023) https://doi.org/10.1117/12.2685450
Event: Second International Conference on Electronic Information Technology (EIT 2023), 2023, Wuhan, China

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.

Citation Download Citation

Chengyu Li, Hongwei Guo, Yihui Gong, and Zhaoting Yuan "Design of equipment health monitoring system based on digital twin", Proc. SPIE 12719, Second International Conference on Electronic Information Technology (EIT 2023), 1271907 (15 August 2023); https://doi.org/10.1117/12.2685450

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available