Samenvatting
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.
Originele taal-2 | Engels |
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Titel | 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI) |
Uitgeverij | Institute of Electrical and Electronics Engineers |
Pagina's | 336-339 |
Aantal pagina's | 4 |
ISBN van elektronische versie | 9781665433372 |
DOI's | |
Status | Gepubliceerd - 22 sep. 2021 |
Evenement | 1st IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2021 - Beijing, China Duur: 15 jul. 2021 → 15 aug. 2021 Congresnummer: 1 https://www.dtpi.org/ |
Congres
Congres | 1st IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2021 |
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Verkorte titel | DTPI 2021 |
Land/Regio | China |
Stad | Beijing |
Periode | 15/07/21 → 15/08/21 |
Internet adres |
Bibliografische nota
Funding Information:ACKNOWLEDGEMENT This work is supported by Topconsortia voor Kennis en Innovatie (TKI), and is supported by ASML Research, Veld-hoven, The Netherlands.
Publisher Copyright:
© 2021 IEEE.
Financiering
ACKNOWLEDGEMENT This work is supported by Topconsortia voor Kennis en Innovatie (TKI), and is supported by ASML Research, Veld-hoven, The Netherlands.