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A Comprehensive Review of Digital Twin

A Comprehensive Review of Digital Twin - Part 1: Modeling and Twinning Enabling Technologies Adam Thelen1, Xiaoge Zhang2, Olga Fink3, Yan Lu4, Sayan Ghosh5, Byeng D. Youn6, Michael D. Todd7, Sankaran Mahadevan8, Chao Hu1* and Zhen Hu9* 1Department of Mechanical Engineering, Iowa State University, Ames, 50011, IA, USA. …

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How Digital Twins Help Scale Up Industrial Robotics AI

The ML algorithm might require some additional training with images captured from the real camera. However, since the ML algorithm is already pre-trained in the digital twin, it will require significantly less real sample images to achieve an accurate and robust result, hence it will reduce the physical commissioning time, resources and re …

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Digital Twin-based Quality Management Method for the …

The Apriori algorithm is applied to mine the strong association rules related to quality data anomalies and uncontrolled assembly systems so as to solve the issue that the causes of abnormal quality are complicated and difficult to trace. ... As the core technology to realize the integration of virtual and physical space, digital twin (DT ...

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Research on establishment of digital-twin system for intelligent ...

The digital twin system realizes the adaptive temperature control of the vacuum stage of cutting tools sintering based on the fuzzy control algorithm. The application of this system has increased the yield rate of cemented carbide cutting tools manufacturing to 98.9%.

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Artificial intelligence in the digital twins:... | Digital Twin

It was found that the integration of digital twins and AI has significant effects in aerospace flight detection simulation, failure warning, aircraft assembly, and even unmanned flight. In the virtual simulation test of automobile autonomous driving, it can save 80% of the time and cost, and the same road conditions reduce the parameter scale ...

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A Simulation Algorithm of a Digital Twin for Manual Assembly …

This paper consists of three elements. (1) It reviews the current state of art along with the research gap and discusses how DT can become a tool to the manual …

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Digital twin modeling

Digital twin models have been successfully implemented in a wide spectrum of manufacturing, such as from full-scale factories to precision parts, from macro manufacturing systems to specific product production processes. ... Meanwhile, adjusting the algorithm parameters to identify the optimal value of each parameter allows for the …

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[2401.08653] Digital Twins for Autonomous Driving: A …

The concept of a digital twin (DT) plays a pivotal role in the ongoing digital transformation and has achieved significant strides for various wireless applications in recent years. In particular, the field of autonomous vehicles is a domain that is ripe for exploiting the concept of DT. Nevertheless, there are many challenges that include …

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Digital Twins: State of the art theory and practice, challenges, and ...

One work that explores the digital twin with machine learning is [68]. It presents a proof of concept for using machine learning with digital twin in the petrochemical industry, by making use of ML algorithms such as random forest, AdaBoost, XGBoost, gradient boosting decision tree (GBDT), LightGBM, and neural networks.

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Digital twin-based multi-level task rescheduling for robotic …

Xu et al. 46 proposed a digital twin-based industrial cloud robotics framework and the control approaches based on it. In this paper, we propose a DT …

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Artificial intelligence in the digital twins:... | Digital Twin

It was found that the integration of digital twins and AI has significant effects in aerospace flight detection simulation, failure warning, aircraft assembly, and even unmanned flight. In the virtual …

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Digital twin technology for continuously welded turnout on

Starting with the requirements for timeliness and accuracy, a digital twin mapping algorithm for digital twins is studied in Sect. 4. Finally, in Sect. 5, the CWT system''s service performance and damage status are evaluated with the assistance of the digital twin. 2 Methodology.

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(PDF) A Simulation Algorithm of a Digital Twin for

Digital twin (DT) is one of the key concepts for Industry 4.0 as it is a critical component in driving real-time simulation and decision making in complex systems.

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Artificial intelligence in digital twins—A systematic literature …

In the assessed literature, a variety of problems are approached with an artificial intelligence-integrated digital twin, demonstrating its applicability across different fields. ... The characteristics are divided into two categories, one focusing on the AI component and its ML algorithms, the second describing the digital twin and its …

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Blockchain-secure patient Digital Twin in healthcare using smart ...

Using available patient electronic medical records, data from smart devices, computing power, and analytics algorithms, a Digital Twin can be created for the patient, as shown in Fig 1. With more data, better approximations of the patient Digital Twin can be produced and queried to provide better access to healthcare at reduced costs …

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Distributed Digital Twin Migration in Multi-Tier Computing Systems

For the digital twin migration problem between different servers, we transform it as a decentralized partially observable Markov decision process (Dec-POMDP). To solve this problem, we propose a novel agent-contribution-enabled multi-agent reinforcement learning (AC-MARL) algorithm to enable distributed digital twin migration for users, in ...

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Digital twin-enabled dynamic scheduling with preventive …

A double-layer Q-learning algorithm is integrated with the digital twin for effective dynamic scheduling. Abstract Dynamic scheduling methods are essential and critical to manufacturing systems because of uncertain events in the production process, such as new job insertions, order cancellations, worker absences, and machine …

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Artificial intelligence in digital twins—A systematic literature …

In this study, we reviewed the state of the art at the intersection of artificial intelligence and digital twins, analyzing 149 relevant articles that propose a digital twin …

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Development of Gamma Background Radiation Digital Twin …

Phone: (800) 553-NTIS (6847) or (703) 605-6000 Fax: (703) 605-6900 Email: [email protected]. Reports not in digital format are available to DOE and DOE contractors from the Office of Scientific and Technical Information (OSTI): U.S. Department of Energy Office of Scientific and Technical Information.

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TS-DP: An Efficient Data Processing Algorithm for Distribution Digital …

TS-DP: An Efficient Data Processing Algorithm for Distribution Digital Twin Grid for Industry 5.0 Abstract: As known, the smart Grid is an essential scenario for Industry 5.0. With its rapid development, the huge number of sensors and smart devices widely used in the industrial field generate significant amounts of data that sharply …

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A Twin Delayed Deep Deterministic Policy Gradient Algorithm for ...

In this paper, we propose a digital twin perception awareness approach for the control of robot navigation without prior creation of the virtual environment (VT) environment state. To achieve this, we develop a twin delayed deep deterministic policy gradient (TD3) algorithm that ensures collision avoidance and goal-based path planning.

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Digital twin of atmospheric turbulence phase screens based on …

The digital twin of atmospheric turbulence phase screens should be able to generate phase screens with infinite length and high similarities to real measurements. In this paper, we propose a novel method to build the digital twin of atmospheric turbulence phase screens. Our method uses two deep neural networks to learn mapping functions …

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Digital twin of the atmospheric turbulence channel based on self ...

The block diagram of the proposed algorithm is shown in Fig. 2.The paradigm of software-defined network (SDN) is adopted [23], [24], through which the physical layer and control layer are decoupled, making it easy for the training of DL algorithm.As shown in Fig. 2, for the training of the proposed algorithm, a Gaussian …

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Build Digital Twins with OpenUSD | NVIDIA

Helping Industries Digitalize with Omniverse Technologies. With NVIDIA Omniverse™ Enterprise deployed on NVIDIA OVX™, developers are building applications to power physically based, AI-enabled digital twins, giving them the superpowers to design, simulate, and optimize products, equipment, and processes in real time before going to production.

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Digital Twin Oriented Virtual View Rendering Algorithm Based …

The Depth Image Based Rendering (DIBR) is an important visual simulation method in digital twin, which can be used to generate virtual viewpoints of physical objects, enabling visualization and manipulation of physical objects. DIBR technique can quickly and effectively synthesize virtual viewpoint images. However, the problem of overlapping in …

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What Is a Digital Twin?

A digital twin can be a model of a component, a system of components, or a system of systems—such as pumps, engines, power plants, manufacturing lines, or a fleet of vehicles. Digital twin models can include physics-based approaches or statistical approaches. The models reflect the operating asset''s current environment, age, and ...

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In-process identification of milling parameters based on digital twin ...

The potential benefits of Industry 4.0 have led to an increased interest in smart manufacturing. To facilitate the self-diagnosis and adaptive ability in smart milling system, a digital twin–driven intelligent algorithm for monitoring in-process milling parameters is proposed here. The algorithm can extract the radial width of cut, axial …

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Digital Twin: Benefits, use cases, challenges, and opportunities

Digital twin technology can use image processing algorithms to analyze video or photographic images of a construction site to assess the condition of various components and materials. For example, it can be used to check the concrete condition or identify cracks in columns or other structures.

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An improved resampling particle filter algorithm based on …

The digital twin-based resampling algorithm continuously improves the resampling process through the data interaction between the data model and the physical model, and realizes the real-time correction capability of particle weights that traditional resampling methods do not have. The new algorithm calibration rules are divided according to ...

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Digital twin for Electronic Centralized Aircraft Monitoring by …

Thanks to the Digital Twin obtained in this way, in case the relevant ECAM parameters cannot be provided to the cockpit crew, these data will be provided to the cockpit crew with the help of machine learning methods. In addition, health and performance monitoring of gas turbine engines will be performed using the proposed algorithm.

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Leveraging digital twin into dynamic production scheduling: A …

The digital twin is an emerging technology that enhances industrial digitalization, as it establishes a dynamic virtual model that emulates a specific phenomenon of the corresponding physical system, thus imparting added value in many manufacturing activities. ... Using a virtual workshop model and a multi-objective optimization algorithm, the ...

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Building a digital twin for large-scale and dynamic C+L-band …

Bridging the gap between the real and virtual worlds, a digital twin (DT) leverages data, models, and algorithms for comprehensive connectivity. The research on DTs in optical networks has increased in recent years; however, optical networks are evolving toward wideband capabilities, highly dynamic states, and ever-increasing …

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An improved resampling particle filter algorithm based on digital twin ...

The problem of weight degradation is inevitable in particle filtering algorithms, and the resampling approach is an important method to reduce the particle degradation phenomenon. To solve the problem of particle diversity loss in existing resampling methods, this paper proposes a new digital twin-based resampling …

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Digital twin: Data exploration, architecture, implementation and …

A Digital Twin (DT) is a digital copy or virtual representation of an object, process, service, or system in the real world. It was first introduced to the world by the …

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Digital twin enabled DRL algorithm | Download Scientific Diagram

Contexts in source publication. Context 1. ... framework of the digital twin enabled DRL algorithm is illustrated in Fig. 3. Digital twin mirrors the network topology and parameters of physical ...

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Advancing digital twin implementation: a toolbox for modelling …

The concept of Digital Twin is becoming increasingly relevant for the realization of Industry 4.0. Digital Twin has the capability to optimize the product lifecycle stages and support the industries for intelligent decision-making and cost-effective business solutions. ... Fast search algorithms for look†up tables 20, p. 238. [48] Zhuang ...

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Digital Twin Modeling Using Machine Learning and Constrained ...

Abstraction of the Digital Twin model. For the purposes of this comparison, let us consider a ML based Twin of a Production Root Cause Analysis (RCA) process, whose purpose is to diagnose the root cause of a deficiency or anomaly found in the finished product or during the manufacturing process. ... The Solver runs …

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A Comprehensive Review of Digital Twin

presents a thorough literature review of digital twin trends across many disciplines currently pur-suing this area of research. Then, digital twin modeling and twinning enabling technologies are further analyzed by classifying them into two main categories: physical …

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Digital twin: Data exploration, architecture, implementation and …

A Digital Twin (DT) is a digital copy or virtual representation of an object, process, service, or system in the real world. It was first introduced to the world by the National Aeronautics and Space Administration (NASA) through its Apollo Mission in the ''60s. ... Fault isolation algorithm, industrial Digital Mock-Up (iDMU) dataset, Savitzky ...

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The digital twin revolution | Nature Computational Science

As an up-to-date virtual representation of a physical asset, the digital twin concept offers such an end-to-end computational modeling ecosystem that can be …

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