CycleStyleGAN-Based Knowledge Transfer for a Machining Digital Twin.

ABSTRACT: Digitalisation of manufacturing is a crucial component of the Industry 4.0 transformation. The digital twin is an important tool for enabling real-time digital access to precise information about physical systems and for supporting process optimisation via the translation of the associated big data into actionable insights. Although a variety of frameworks and conceptual models addressing the requirements and advantages of digital twins has been suggested in the academic literature, their implementation has received less attention. The work presented in this paper aims to make a proposition that considers the novel challenges introduced for data analysis in the presence of heterogeneous and dynamic cyber-physical systems in Industry 4.0. The proposed approach defines a digital twin

SUBMITTER: Zotov E 

PROVIDER: S-EPMC8657946 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature