A Methodology for Digital Twin Modeling and Deployment for Industry 4.0

Schroeder, Greyce N.; Steinmetz, Charles; Rodrigues, Ricardo; Henriques, Renato Ventura Bayan; Rettberg, Achim; Pereira, Carlos Eduardo

doi:10.1109/jproc.2020.3032444

Cited by 125 publications

(44 citation statements)

References 39 publications

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“…As a digital twin definition; it is a digital structure created to understand, model, and improve the performance of the physical system. In other words, it is a virtual representation of a physical system (Schroeder et al, 2021). According to Grievens, the ability of a system to have a digital twin depends on three components.…”

Section: Methodsmentioning

confidence: 99%

Yenilenebilir Enerji Kaynakları İçin Dijital İkiz Konsepti

Gökkuş¹

2021

Konya Journal of Engineering Sciences

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In this study, research has been conducted on how to adapt the digital twin concept on wind and solar energy systems, which are alternatives to existing energy sources and have the largest share compared to other alternative energy sources. Predictions have been made on possible benefits provided to these energy sources by the digital twin concept, which is one of the popular study topics today. For this purpose, firstly, the concept of the digital twin is introduced and information about its recent applications is given. Then, information is given about how the digital twin concept can be adapted to alternative energy sources, as suggested within the scope of the study. In addition, academic studies in the field of renewable/alternative energy resources are examined and evaluations are made on the findings.

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Section: Methodsmentioning

confidence: 99%

Yenilenebilir Enerji Kaynakları İçin Dijital İkiz Konsepti

Gökkuş¹

2021

Konya Journal of Engineering Sciences

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“…Digital twin is an emerging and fast-growing technology which connects the physical and virtual world. It has attracted much attention worldwide recently [158][159][160]. The future of product and service design will be hugely impacted by digital twin technology.…”

Section: Machine Learning For Reliability Improvement Of Electromagnementioning

confidence: 99%

Machine Learning for Design Optimization of Electromagnetic Devices: Recent Developments and Future Directions

Lei

Bramerdorfer

et al. 2021

Applied Sciences

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This paper reviews the recent developments of design optimization methods for electromagnetic devices, with a focus on machine learning methods. First, the recent advances in multi-objective, multidisciplinary, multilevel, topology, fuzzy, and robust design optimization of electromagnetic devices are overviewed. Second, a review is presented to the performance prediction and design optimization of electromagnetic devices based on the machine learning algorithms, including artificial neural network, support vector machine, extreme learning machine, random forest, and deep learning. Last, to meet modern requirements of high manufacturing/production quality and lifetime reliability, several promising topics, including the application of cloud services and digital twin, are discussed as future directions for design optimization of electromagnetic devices.

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“…In addition, the design for service should contain several features, including smart implementation, precise forecasting, and reliable control. The service is a set of mathematical algorithms that combine tracking, evaluation, optimization, and estimation [62] . The integration between digital twin and service is a hot research spot, which could help enhance the reliability of the digital twin framework.…”

Section: Servicementioning

confidence: 99%

Developments of digital twin technologies in industrial, smart city and healthcare sectors: a survey

Yang¹,

Karimi²,

Kaynak³

et al. 2021

CES

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Digitization and digitalization have already changed our world significantly. Further disruptions are imminent with the ongoing digital transformation, a major component of which is digital twins. As the big data techniques, Internet of Things, cloud computing, and artificial intelligence algorithms advance, the digital twin technology has entered a phase of rapid development. It has been stated to be one of the top ten most promising technologies. Although it is still in its early stages, digital twins are already being widely used in a variety of fields, especially in industry, smart cities, and smart health, which are points that attract most researchers to study. In the literature, there can be seen numerous articles and reviews on digital twins, published every year in these three fields. It is therefore timely, even necessary, to provide an analysis of the published work. This is the motivation behind this article, the focus of which is the major research and application areas of digital twins. The survey first analyzes the recent developments of digital twins, then summarizes the theoretical underpinnings of the technology, and finally concludes with specific developments in various application areas of digital twins. It also discusses the challenges that may be encountered in the future.

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A Methodology for Digital Twin Modeling and Deployment for Industry 4.0

Cited by 125 publications

References 39 publications

Yenilenebilir Enerji Kaynakları İçin Dijital İkiz Konsepti

Yenilenebilir Enerji Kaynakları İçin Dijital İkiz Konsepti

Machine Learning for Design Optimization of Electromagnetic Devices: Recent Developments and Future Directions

Developments of digital twin technologies in industrial, smart city and healthcare sectors: a survey

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