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Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison

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TLDR
This paper reviews and analyzes CPS and DTs from multiple perspectives, including their origin, development, engineering practices, cyber–physical mapping, and core elements.
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This article is published in Engineering.The article was published on 2019-08-01 and is currently open access. It has received 566 citations till now. The article focuses on the topics: Cyber-physical system & Industry 4.0.

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Journal ArticleDOI

Digital Twin: Enabling Technologies, Challenges and Open Research

TL;DR: Digital twins as discussed by the authors is an emerging concept that has become the centre of attention for industry and, in recent years, academia and a review of publications relating to Digital Twins is performed, producing a categorical review of recent papers.
Journal ArticleDOI

Enabling technologies and tools for digital twin

TL;DR: 5-dimension digital twin model provides reference guidance for understanding and implementing digital twin, and the frequently-used enabling technologies and tools for digital twin are investigated and summarized to provide Technologies and tools references for the applications of digital twin in the future.
Journal ArticleDOI

A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives

TL;DR: This work sets out to be a guide to the status of DT development and application in today’s academic and industrial environment by selecting 123 representative items together with 22 supplementary works to address those two perspectives, while considering technical aspects as a fundamental.
Journal ArticleDOI

Digital twins-based smart manufacturing system design in Industry 4.0: A review

TL;DR: The definitions, frameworks, major design steps, new blueprint models, key enabling technologies, design cases, and research directions of digital twins-based SMS design are presented and it is expected that this survey will shed new light on urgent industrial concerns in developing new SMSs in the Industry 4.0 era.
Journal ArticleDOI

Digital twin paradigm: A systematic literature review

TL;DR: This study aims at clearly tracing the ongoing research and technical challenges in conceiving and building DTs as well, according to different application domains and related technologies, and tries to answer to the previous questions.
References
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Journal ArticleDOI

A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems

TL;DR: A unified 5-level architecture is proposed as a guideline for implementation of Cyber-Physical Systems (CPS), within which information from all related perspectives is closely monitored and synchronized between the physical factory floor and the cyber computational space.
Proceedings ArticleDOI

Cyber-physical systems: the next computing revolution

TL;DR: The design, construction and verification of cyber-physical systems pose a multitude of technical challenges that must be addressed by a cross-disciplinary community of researchers and educators.
Journal ArticleDOI

Intelligent Manufacturing in the Context of Industry 4.0: A Review

TL;DR: This paper provides a comprehensive review of associated topics such as intelligent manufacturing, Internet of Things (IoT)-enabled manufacturing, and cloud manufacturing and describes worldwide movements in intelligent manufacturing.
Journal ArticleDOI

Digital twin-driven product design, manufacturing and service with big data

TL;DR: In this paper, a new method for product design, manufacturing, and service driven by digital twin is proposed, and three cases are given to illustrate the future applications of digital twin in three phases of a product respectively.
Journal ArticleDOI

Secure Estimation and Control for Cyber-Physical Systems Under Adversarial Attacks

TL;DR: A new simple characterization of the maximum number of attacks that can be detected and corrected as a function of the pair (A,C) of the system is given and it is shown that it is impossible to accurately reconstruct the state of a system if more than half the sensors are attacked.
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