Digital Twin: Generalization, characterization and implementation

VanDerHorn, Eric; Mahadevan, Sankaran

doi:10.1016/j.dss.2021.113524

Cited by 445 publications

(209 citation statements)

References 20 publications

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“…However, for complex systems, “black-box” models are also used. Data-driven models are more and more commonly deployed to identify and describe the relationships between various variables [ 10 ].…”

Section: The Fundamentals and Main Assumptions Of The Digital Twins Technologymentioning

confidence: 99%

“…Digital twins are used to improve the efficiency of machines, conveyors, and other devices. By tracking and modeling changes that take place over time in the virtual representation as a function of input variables to the system, one can approximate the past, present, and future states in order to control the decision process [ 10 ]. In this context, digital twins are also used to model systems and to collect and analyses information about processes and people, and can thus be employed to solve complex problems.…”

Section: The Fundamentals and Main Assumptions Of The Digital Twins Technologymentioning

confidence: 99%

“…Furthermore, it should be remembered that the quality of the results obtained through digitization depends on the quality of the data obtained—which should be the focus of all researchers. A special role in this respect is played by the Digital Twin technology, which permits us to represent a real-world object in a digital world and to approximate its past and present states and forecast its future states in order to control the decision-making process [ 10 ]. The aim of this study was to show how the Digital Twin technology could be applied in testing the operating environment of an autonomous mobile robot (AMR).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Digital Twin Approach for the Improvement of an Autonomous Mobile Robots (AMR’s) Operating Environment—A Case Study

Stączek

Pizoń

Danilczuk

et al. 2021

Sensors

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The contemporary market creates a demand for continuous improvement of production, service, and management processes. Increasingly advanced IT technologies help designers to meet this demand, as they allow them to abandon classic design and design-testing methods in favor of techniques that do not require the use of real-life systems and thus significantly reduce the costs and time of implementing new solutions. This is particularly important when re-engineering production and logistics processes in existing production companies, where physical testing is often infeasible as it would require suspension of production for the testing period. In this article, we showed how the Digital Twin technology can be used to test the operating environment of an autonomous mobile robot (AMR). In particular, the concept of the Digital Twin was used to assess the correctness of the design assumptions adopted for the early phase of the implementation of an AMR vehicle in a company’s production hall. This was done by testing and improving the case of a selected intralogistics task in a potentially “problematic” part of the shop floor with narrow communication routes. Three test scenarios were analyzed. The results confirmed that the use of digital twins could accelerate the implementation of automated intralogistics systems and reduce its costs.

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Section: The Fundamentals and Main Assumptions Of The Digital Twins Technologymentioning

confidence: 99%

Section: The Fundamentals and Main Assumptions Of The Digital Twins Technologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Digital Twin Approach for the Improvement of an Autonomous Mobile Robots (AMR’s) Operating Environment—A Case Study

Stączek

Pizoń

Danilczuk

et al. 2021

Sensors

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“…A digital twin is a digital (or virtual) representation of an engineering system that can simulate, monitor, diagnose, predict, and optimize the behaviors of its corresponding engineering system in "real-time." 40,41 Real-time updating is the key characteristic which distinguishes the digital twin model from regular simulations. In other words, digital twin makes full use of data such as physical models, that is, "as-built" geometry and material properties, sensor updates, and operating history, and integrates multi-disciplinary, multi-physical (mechanical/thermal/ chemical), multi-scale (nano/micro/meso/macro), and multi-probability simulation processes to real-time reproduce dynamics of a physical system in the virtual space, that is, in-service loadings/stresses and subsequent multi-scale damage/wear initiation and evolution, and update the models with "as-experienced" information.…”

Section: Digital Twin For Probabilistic Nuclear Structural Integritymentioning

confidence: 99%

A review of probabilistic structural integrity assessment in the nuclear sector and possible future directions

Chavoshi

Booker

Bradford

et al. 2021

Fatigue Fract Eng Mat Struct

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There always exists uncertainty and variability in structural integrity assessments arising from lack of knowledge, modeling approximations, or differences between as-manufactured components and as-operated components. This may ultimately impact on reactor lives. Such uncertainties and variabilities can be understood and quantified using probabilistic techniques together with reliability-based acceptance criteria, facilitating the quantification and management of risk. This review article provides a systematic appraisal of the latest worldwide literature and also unpublished reports from EDF UK nuclear plants, giving an overview of the existing knowledge of probabilistic/reliability structural integrity methodologies and tools from a multifaceted stance, including failure modes, problem types, material types, employed codes, correlations, and probability distributions. Structural reliability analysis at different levels is discussed, and pertinent issues on convergence testing, required number of trails, sensitivity analysis, verification of individual analyses, extremely small probabilities, reactor-wide failure probabilities, and digital twin structural integrity monitoring are elaborated.

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“…Manufacturing "DT is very realistic models of the current state of the process and their own behavior in interaction with their environment in the real world" [93] Data-Oriented modeling "Coupled model of the real machine that operates in the cloud platform and simulates the health condition with an integrated knowledge from both data driven analytical algorithms as well as other available physical knowledge" [94] Cyber-Physical Systems "Digital Twin, which links the physical system with its virtual equivalent can mitigate these problematic issues" [95] "The Digital Twin (DT) is meant as the virtual and computerized counterpart of a physical system that can be used to simulate it for various purposes, exploiting a realtime synchronization of the sensed data coming from the field" [96] "Digital Twin, requires a cloud-based solution to ensure a near real-time processing" [97,98] Different applications are reported for DT in literature, life prediction [86], supply chain simulation [99], safety and reliability [30], quality control/improve [100], maintenance [101][102][103][104][105], urban administration [106], building lifecycle [107,108], uncertainty management [95], decision science [109], material science [110], cloth industry [111],…”

Section: Definitionmentioning

confidence: 99%

Digital Twin (DT) in Smart Energy Systems - Systematic Literature Review of DT as a growing solution for Energy Internet of the Things (EIoT)

2021

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In the industry 4.0 era, the Smart Energy System (SES) should be able to address the emerging challenges of digitization and socioeconomic/ecologic transition along with other critical entities of the society. However, because of the complexity of this system, both researchers and practitioners are seeking an agile and smart solution. The main motive of this review is to investigate the applications and implementation of Digital Twin (DT) in the provision of energy services. Research Questions (RQ) of this study include: RQ1: What are the applications of DT in SES and how effective is DT in that use case of EIoT? RQ2: Which issues of an SES can be addressed efficiently by using DT? Through answering the mentioned questions, the current study is heading to following objectives (O), O1: Describe the state of the art of DT in SES. O2: Develop a direction for energy 4.0 management through listing the applications, challenges and important factors of implementing DTs. O3: Provide a list of various approaches in employing DT in the scope of SES. The current study is a systematic literature review (SLR), based on SCOPUS, WOS and IEEE digital libraries. Two keywords (namely “Digital Twin” and “Energy Systems”) have been first used. To achieve the final list of articles, 2 levels of screening have been conducted. The first Screening was based on the relevance of the results concerning research objectives. The second screening was an abstract study. The exclusion/inclusion criteria in the abstract study were based on the research questions. The papers that have the potential of answering one of the research questions have been included. Since the implementation of DT is a rather new topic, both backward snowballing and forward snowballing strategies are implemented to finalize the article selection phase. 60 articles identified by searching through scientific databases and 11 articles have been appended to the list during the snowballing process. The results of the current review provide a managerial guideline for practitioners that are heading to utilize DT, along with an anthology of DT within SES scope to feed possible future studies.

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Digital Twin: Generalization, characterization and implementation

Cited by 445 publications

References 20 publications

A Digital Twin Approach for the Improvement of an Autonomous Mobile Robots (AMR’s) Operating Environment—A Case Study

A Digital Twin Approach for the Improvement of an Autonomous Mobile Robots (AMR’s) Operating Environment—A Case Study

A review of probabilistic structural integrity assessment in the nuclear sector and possible future directions

Digital Twin (DT) in Smart Energy Systems - Systematic Literature Review of DT as a growing solution for Energy Internet of the Things (EIoT)

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