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Digital twin-based anomaly detection for real-time tool condition monitoring in machining

Lookup NU author(s): Dr Zepeng LiuORCiD

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Publication metadata

Author(s): Liu Z, Lang ZQ, Gui Y, Zhu YP, Laalej H

Publication type: Article

Publication status: Published

Journal: Journal of Manufacturing Systems

Year: 2024

Volume: 75

Pages: 163-173

Print publication date: 01/08/2024

Online publication date: 27/06/2024

Acceptance date: 11/06/2024

Date deposited: 12/07/2024

ISSN (print): 0278-6125

ISSN (electronic): 1878-6642

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.jmsy.2024.06.004

DOI: 10.1016/j.jmsy.2024.06.004


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Funding

Funder referenceFunder name
Engineering and Physical Sciences Research Council
EP/T024291/1

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