Digital twins in mechatronics: From model-based control to predictive maintenance

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21 Citations (Scopus)

Abstract

Fault diagnosis systems are essential in precision mechatronics to facilitate maintenance and to minimize downtime. The aim of this paper is to describe the current trend in control for precision mechatronics and the related future challenges for digital twin-assisted predictive maintenance as well as recently developed approaches. The future generation of fault diagnosis systems is envisaged to rely on identified physics-based models, enriched by the available real-time data from a large number of sensors and actuators.

Original languageEnglish
Title of host publication2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI)
PublisherInstitute of Electrical and Electronics Engineers
Pages336-339
Number of pages4
ISBN (Electronic)9781665433372
DOIs
Publication statusPublished - 22 Sept 2021
Event1st IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2021 - Beijing, China
Duration: 15 Jul 202115 Aug 2021
Conference number: 1
https://www.dtpi.org/

Conference

Conference1st IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2021
Abbreviated titleDTPI 2021
Country/TerritoryChina
CityBeijing
Period15/07/2115/08/21
Internet address

Keywords

  • Digital twin
  • Fault diagnosis
  • Mechatronics
  • Predictive maintenance

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