Digital Twin for Verification and Validation of Industrial Automation Systems – a Survey

Löcklin, Andreas; Müller, Manuel; Jung, Tobias; Jazdi, Nasser; White, Dustin; Weyrich, Michael

doi:10.1109/etfa46521.2020.9212051

Cited by 46 publications

(4 citation statements)

References 44 publications

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“…Online DT V&V Offline DT V&V Data V&V General system V&V ITU 52 x Lehner et al 57 x x Sargent 75 x Lugaresi et al 38 x Khan et al 76 x x x Peter et al 39 x Dahmen et al 77 x Hua et al 74 x x x Shao and Kibira 58 x Wagner et al 50 x x Locklin et al 78 x x x x Rasheed et al 60 x Schleich et al 55 x 4.1.7. Scalability.…”

Section: Refmentioning

confidence: 99%

From modeling and simulation to Digital Twin: evolution or revolution?

Ali,

Biglari,

Denil

et al. 2024

SIMULATION

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As digitalization is permeating all sectors of society toward the concept of “smart everything,” and virtual technologies and data are gaining a dominant place in the engineering and control of intelligent systems, the Digital Twin (DT) concept has surfaced as one of the top technologies to adopt. This paper discusses the DT concept from the viewpoint of Modeling and Simulation (M&S) experts. It both provides literature review elements and adopts a commentary-driven approach. We first examine the DT from a historical perspective, tracing the historical development of M&S from its roots in computational experiments to its applications in various fields and the birth of DT-related and allied concepts. We then approach DTs as an evolution of M&S, acknowledging the overlap in these different concepts. We also look at the M&S workflow and its evolution toward a DT workflow from a software engineering perspective, highlighting significant changes. Finally, we look at new challenges and requirements DTs entail, potentially leading to a revolutionary shift in M&S practices. In this way, we hope to foster the discussion on DTs and provide the M&S expert with innovative perspectives.

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Section: Refmentioning

confidence: 99%

From modeling and simulation to Digital Twin: evolution or revolution?

Ali,

Biglari,

Denil

et al. 2024

SIMULATION

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“…Löcklin et al [8] published a survey paper that tackles the DT's use for verification and validation (V&V) purposes. The authors mention that there are multiple DT definitions in the literature, before settling on one definition that makes a distinction between the Digital Twin, which is mainly referred to as a tool for monitoring, verification and validation, and the Intelligent Digital Twin, that can provide meaningful feedback to its corresponding asset based on the acquired data.…”

Section: B Related Surveysmentioning

confidence: 99%

Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects

Mihai

Yaqoob

Hưng

et al. 2022

IEEE Commun. Surv. Tutorials

349

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“…Security Testing and Validation:Digital twins make it easier to test and validate new infrastructure, applications, and systems for security. Vulnerabilities [27]can be found and fixed early on by subjecting the digital twin to simulated attacks and penetration testing. The danger of security [4]breaches is decreased when the system is used in a production setting approach.…”

Section: Application Of Digital Twin In Cybersecuritymentioning

confidence: 99%

Cyber Security Issues in the Industrial Applications of Digital Twins

Siddique,

Haque,

Rifat

et al. 2023

2023 IEEE Symposium Series on Computational Intelligence (SSCI)

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Transformative developments have been brought in across a number of industries. Digital twin technologies are one of them. This revolutionary innovation has enhanced efficiency, optimized production, and elevated product design to new heights. Nevertheless, as industries embrace the potential of digital twins, cybersecurity concerns come to the forefront due to the convergence of physical and virtual realms. By addressing cybersecurity challenges effectively, industries can fully capitalize on the transformative capabilities of digital twin technology, driving competitiveness and resilience in the face of evolving digital landscapes. Our research explores the various industrial applications of digital twin technology. It also highlights the urgent need for strong cybersecurity measures. Secure data transmission, access control, encryption, and threat detection become crucial elements that must be ensured in order for digital twin systems in the industrial sector.

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Digital Twin for Verification and Validation of Industrial Automation Systems – a Survey

Cited by 46 publications

References 44 publications

From modeling and simulation to Digital Twin: evolution or revolution?

From modeling and simulation to Digital Twin: evolution or revolution?

Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects

Cyber Security Issues in the Industrial Applications of Digital Twins

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