A digital twin framework for predictive maintenance in industry 4.0
Conference paper
Mihai, S., Davis, W., Hung, D., Trestian, R., Karamanoglu, M., Barn, B., Prasad, R., Venkataraman, H. and Nguyen, H. 2021. A digital twin framework for predictive maintenance in industry 4.0. HPCS 2020: 18th Annual Meeting. Barcelona, Spain (Online Virtual Conference) 22 - 27 Mar 2021 IEEE.
Type | Conference paper |
---|---|
Title | A digital twin framework for predictive maintenance in industry 4.0 |
Authors | Mihai, S., Davis, W., Hung, D., Trestian, R., Karamanoglu, M., Barn, B., Prasad, R., Venkataraman, H. and Nguyen, H. |
Abstract | The rapid advancements in manufacturing technologies are transforming the current industrial landscape through Industry 4.0, which refers not only to the integration of information technology with industrial production, but also to the use of innovative technologies and novel data management approaches. The target is to enable the manufacturers and the entire supply chain to save time, boost productivity, reduce waste and costs, and respond flexibly and efficiently to consumers’ requirements. |
Conference | HPCS 2020: 18th Annual Meeting |
Publisher | IEEE |
Publication dates | |
27 Mar 2021 | |
Publication process dates | |
Deposited | 19 Jan 2021 |
Accepted | 10 Oct 2020 |
Output status | In press |
Accepted author manuscript | |
Copyright Statement | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works |
Language | English |
Book title | Proceedings of the 2020 International Conference on High Performance Computing & Simulation |
https://repository.mdx.ac.uk/item/893yy
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