☆ 4.7 Article

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

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2022)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Engineering, Industrial

Digital Twin-enabled Collaborative Data Management for Metal Additive Manufacturing Systems

Chao Liu et al.

Summary: Metal Additive Manufacturing (AM) has gained attention due to its advantages, but the complex relationships limit its widespread use. To facilitate its development, this paper proposes a Digital Twin-enabled collaborative data management framework, which has been validated through practical implementation.

JOURNAL OF MANUFACTURING SYSTEMS (2022)

添加到收藏夹

Article Automation & Control Systems

Time-Varying Error Prediction and Compensation for Movement Axis of CNC Machine Tool Based on Digital Twin

Kuo Liu et al.

Summary: This study investigates the prediction and compensation of time-varying error for the movement axis of CNC machine tools using digital twin technology. A framework is proposed and experimental results demonstrate the effectiveness and feasibility of this method.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2022)

添加到收藏夹

Article Engineering, Industrial

Enabling technologies and tools for digital twin

Qinglin Qi et al.

Summary: Digital twin is revolutionizing industry by mirroring almost every facet of a product, process or service in the digital space. However, realizing their full potential is a complex process as researchers need to model different parts of objects or systems, collect and merge varied types of data, and struggle with determining the technologies and tools to be used. The 5-dimension digital twin model provides guidance for understanding and implementing digital twin technologies.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

添加到收藏夹

Article Engineering, Industrial

Modeling and implementation of a digital twin of material flows based on physics simulation

Moritz Glatt et al.

Summary: Cyber-physical production systems enhance adaptivity and flexibility in manufacturing customized products in small batches, but complex material flows can lead to physically induced disturbances. Applying a physics engine to simulate physical interactions and connecting digital models to real systems for simulation-based decision support introduces the concept of digital twins, which have versatile advantages in manufacturing systems but are underutilized in practical applications outside the machine tool domain.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

添加到收藏夹

Article Engineering, Industrial

A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence

Kaishu Xia et al.

Summary: The paper proposes a data-driven approach to automate smart manufacturing systems by utilizing digital twin and Deep Reinforcement Learning. It demonstrates the integration of smart agents into industrial platforms to expand the usage of system-level digital twin and improve the digital transformation of the manufacturing industry. The study highlights the potential of combining data science and manufacturing industries through the DRL approach to automated manufacturing control problems.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

添加到收藏夹

Article Engineering, Industrial

Digital twin-based industrial cloud robotics: Framework, control approach and implementation

Wenjun Xu et al.

Summary: This paper introduces the application of digital twin technology in the field of industrial cloud robotics, encapsulating robot control capabilities as cloud services and implementing fine sensing control of physical manufacturing systems using digital twin technology. This technology is capable of synchronizing and merging digital models with physical robots to achieve accurate control, and it has flexibility and scalability by utilizing ontology models.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

添加到收藏夹

Article Engineering, Industrial

Prediction maintenance integrated decision-making approach supported by digital twin-driven cooperative awareness and interconnection framework

Shanghua Mi et al.

Summary: Predictive maintenance is essential for ensuring and improving normal industrial production, and a framework involving cooperative awareness and interconnection across multiple organizations has been proposed to address existing bottlenecks in its popularization and application. By integrating digital twin and establishing a comprehensive mathematical programming model, this framework enables higher accuracy and reliability in predictive maintenance decision-making.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

添加到收藏夹

Article Engineering, Industrial

Conceptual digital twin modeling based on an integrated five-dimensional framework and TRIZ function model

Chunlong Wu et al.

Summary: This paper introduces a method for conceptual modeling of a digital twin based on a five-dimensional framework, to represent the complex relationship between digital twin objects and their attributes. This method can help to model digital twins more effectively in engineering fields.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

添加到收藏夹

Article Engineering, Civil

Deep learning-based detection of structural damage using time-series data

Hung V. Dang et al.

Summary: This study extends the applicability of four prominent deep learning algorithms to structural damage detection using raw data, showing insights on their performance in various structures through quantitative evaluations of detection accuracy, time complexity, and required data storage in multi-damage scenarios.

STRUCTURE AND INFRASTRUCTURE ENGINEERING (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Digital Twin as a Service (DTaaS) in Industry 4.0: An Architecture Reference Model

Shohin Aheleroff et al.

Summary: Recent findings show that Digital Twin can provide services to multiple stakeholders, but a sophisticated reference architecture, suitable technologies, and a proper business model are needed. Most studies in the field focus on manufacturing, while empirical research on the relationship between Digital Twin and mass individualization is lacking. The study aims to identify suitable Industry 4.0 technologies and a comprehensive reference architecture model for challenging Digital Twin applications, indicating a significant relationship between Digital Twin capabilities as a service and mass individualization.

ADVANCED ENGINEERING INFORMATICS (2021)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Machine learning based digital twin for dynamical systems with multiple time-scales

S. Chakraborty et al.

Summary: Digital twin technology has great potential in various industrial sectors, but practical adoptions have been hindered by a lack of application-specific details. This study proposes a digital twin framework for linear single-degree-of-freedom structural dynamic systems, involving a physics-based nominal model and a data-driven machine learning model.

COMPUTERS & STRUCTURES (2021)

添加到收藏夹

Article Engineering, Industrial

A digital twin-based big data virtual and real fusion learning reference framework supported by industrial internet towards smart manufacturing

Pei Wang et al.

Summary: Digital twin, as a key element in the Industrial Internet, bridges virtual and physical spaces effectively to enhance the development of smart factories. With the support of digital twin-based big data learning and analysis, the fusion of virtual and real spaces is deepened, promoting interaction and closed-loop optimization in smart manufacturing processes. The proposed reference framework, DT-BDVRL, guides the integration of digital and physical realms through Industrial Internet technology, providing a comprehensive solution for smart manufacturing development.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

添加到收藏夹

Article Engineering, Multidisciplinary

Digital twin-driven machine learning: ball bearings fault severity classification

Mohamed Habib Farhat et al.

Summary: MLAs are increasingly used for processing vibration signals from industrial machineries. Previous fault detection algorithms were limited by historical data, but DT can provide a large amount of training data. This study aims to develop a simulation-driven MLA based on multifactorial analysis of fault indicators associated with a DT, without the need for experience accumulation.

MEASUREMENT SCIENCE AND TECHNOLOGY (2021)

添加到收藏夹

Article Automation & Control Systems

Data-Driven Structural Health Monitoring Using Feature Fusion and Hybrid Deep Learning

Hung V. Dang et al.

Summary: This study developed a practical end-to-end framework for smart structural health monitoring, achieving highly accurate damage detection through a hybrid deep learning model and signal processing techniques. Three case studies demonstrated the effectiveness of the proposed approach, suitable for real-time SHM with reduced resource requirements.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2021)

添加到收藏夹

Article Engineering, Electrical & Electronic

Digital Twin for 5G and Beyond

Huan X. Nguyen et al.

Summary: Although 5G networks are still in their early stages, the concept of digital twins is being utilized in various industries with great potential, even though it remains relatively new for 5G/6G networks. Digital twins have the power to assist in developing and deploying complex 5G environments, fulfilling their potential.

IEEE COMMUNICATIONS MAGAZINE (2021)

添加到收藏夹

Article Engineering, Industrial

Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning

Min Xia et al.

Summary: The intelligent fault diagnosis framework based on DT and deep transfer learning enables accurate machine fault diagnosis with limited measured data. This method outperforms other state-of-the-art data-driven methods in achieving intelligent fault diagnosis.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)

添加到收藏夹

Article Multidisciplinary Sciences

Multifidelity computing for coupling full and reduced order models

Shady E. Ahmed et al.

Summary: Hybrid physics-machine learning models are used in simulations of transport processes, combining physics-based full order models with data-driven reduced order models. The approach integrates mixed fidelity descriptions toward predictive digital twin technologies, using long short-term memory networks to bridge high and low-fidelity models in various forms of interfacial error correction or prolongation. This approach addresses ROM-FOM coupling problems in nonlinear advection-diffusion flow situations with a bifidelity setup.

PLOS ONE (2021)

添加到收藏夹

Review Chemistry, Analytical

A Survey on AI-Driven Digital Twins in Industry 4.0: Smart Manufacturing and Advanced Robotics

Ziqi Huang et al.

Summary: Digital twin and artificial intelligence technologies play essential roles in Industry 4.0, with a focus on the integration of infrastructure, algorithms, and applications. AI-driven digital twin technologies are widely used in smart manufacturing and advanced robotics, offering advantages for sustainable development.

SENSORS (2021)

添加到收藏夹

Article Computer Science, Information Systems

Communication-Efficient Federated Learning and Permissioned Blockchain for Digital Twin Edge Networks

Yunlong Lu et al.

Summary: This article introduces digital twin edge networks (DITENs) to bridge the gap between physical edge networks and digital systems, and proposes a blockchain-empowered federated learning scheme to enhance communication security and data privacy protection. Additionally, asynchronous aggregation and digital twin empowered reinforcement learning are used to improve the efficiency of the integrated scheme.

IEEE INTERNET OF THINGS JOURNAL (2021)

添加到收藏夹

Article Computer Science, Software Engineering

A robot arm digital twin utilising reinforcement learning

Marius Matulis et al.

Summary: The implementation of Artificial Intelligence in various industry contexts has led to the emergence of the fourth industrial revolution, also known as Industry 4.0, offering significant benefits to businesses and stakeholders. Robot arms, commonly used in manufacturing and industrial processes, require proper training through AI to be effectively utilized. The use of a Digital Twin is one approach to support AI training, but challenges exist in collecting data and applying trained AI policies for successful task completion.

COMPUTERS & GRAPHICS-UK (2021)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

IoT and digital twin enabled smart tracking for safety management

Zhiheng Zhao et al.

Summary: Modern warehousing systems for fresh and cold-keeping storage have complex operation procedures, accelerated pace, and high labour intensity, leading to hazardous working environments. This paper introduces an IoT and digital twin-enabled tracking solution framework for safety management, with an indoor safety tracking mechanism developed for real-time precise location information. A case study demonstrates the feasibility and effectiveness of the proposed techniques, showing high accuracy in detecting abnormal behavior and ensuring long-term use through adaptation.

COMPUTERS & OPERATIONS RESEARCH (2021)

添加到收藏夹

Article Engineering, Electrical & Electronic

A Methodology for Digital Twin Modeling and Deployment for Industry 4.0

Greyce N. Schroeder et al.

Summary: The digital twin is a virtual representation of physical objects that can predict and optimize the behavior of production systems, using a design methodology based on MDE. It includes modeling at two levels, a generic reference architecture and a concrete implementation methodology, all of which are validated through a case study.

PROCEEDINGS OF THE IEEE (2021)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Unified modeling for digital twin of a knowledge-based system design

Haoqi Wang et al.

Summary: This paper introduces the application of digital twin technology to address complexity management issues in MBSE for system design. By constructing a five-dimensional system design digital twin framework, services such as design complexity measurement, effort estimation, and change propagation prediction are provided, bringing new directions to system design.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2021)

添加到收藏夹

Article Automation & Control Systems

Real-World Anomaly Detection by Using Digital Twin Systems and Weakly Supervised Learning

Andrea Castellani et al.

Summary: This article introduces a novel weakly supervised anomaly detection method that uses Digital Twin technology to generate training datasets, achieving better performance on real-world datasets compared to other methods.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)

添加到收藏夹

Article Automation & Control Systems

Communication-Efficient Federated Learning for Digital Twin Edge Networks in Industrial IoT

Yunlong Lu et al.

Summary: This article introduces the application of digital twin edge networks in the industrial Internet of Things, filling the gap between physical systems and digital spaces by incorporating digital twin into edge networks. The use of federated learning to construct digital twin models of IoT devices and the proposal of an asynchronous model update scheme help to improve communication efficiency and reduce transmission energy cost.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)

添加到收藏夹

Article Engineering, Industrial

A digital-twin visualized architecture for Flexible Manufacturing System

Yepeng Fan et al.

Summary: The new generation of industrial 4.0 intelligent manufacturing system incorporates Human-Cyber-Physical System (HCPS) to integrate human, cyber, and physical systems. This paper presents a general architecture of digital-twin visualization for flexible manufacturing systems (FMS), addressing human-machine interaction problems and proposing a digital-twin modeling concept. The study discusses visualization methods for high-value information related to lifecycle stages and presents a digital-twin modeling concept of GHOST for developing virtual scenes.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

添加到收藏夹

Article Engineering, Mechanical

Digital twin, physics-based model, and machine learning applied to damage detection in structures

T. G. Ritto et al.

Summary: This work focuses on digital twins and the development of a simplified framework within the context of dynamical systems. Digital twin is a concept that integrates computational models, sensors, learning, and more to support engineering decisions related to specific assets. By combining physics-based models with machine learning, a digital twin for a damaged structure is constructed and tested with different classifiers and parameters to support real time engineering decisions. The conclusions drawn from the different scenarios explored in this study may be beneficial for a wide range of applications.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

添加到收藏夹

Proceedings Paper Green & Sustainable Science & Technology

Digital Twin for Self-Security of Smart Inverters

Tareq Hossen et al.

Summary: This paper presents a self-security approach for smart inverters using the digital twin concept, which can potentially protect inverters from man-in-the-middle attacks by autonomously examining incoming commands before engaging them to the local controller.

2021 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE) (2021)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

Why AI is Harder Than We Think

Melanie Mitchell

PROCEEDINGS OF THE 2021 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'21) (2021)

添加到收藏夹

Proceedings Paper Computer Science, Interdisciplinary Applications

Models Meet Data: Challenges to Create Virtual Entities for Digital Twins

Mark van den Brand et al.

Summary: Digital twin technology has become the center of attention for researchers and engineers, based on virtual entities that closely mimic their physical counterparts. These virtual entities are typically composed of multiple models from various domains and are expressed using different tools and languages.

24TH ACM/IEEE INTERNATIONAL CONFERENCE ON MODEL-DRIVEN ENGINEERING LANGUAGES AND SYSTEMS COMPANION (MODELS-C 2021) (2021)

添加到收藏夹

Proceedings Paper Computer Science, Interdisciplinary Applications

Constructing Digital Twin for Smart Manufacturing

Hao Qin et al.

Summary: The paper proposes a systematic method for constructing a digital twin for customized production, including 3D modeling, mechanism modeling, and real-time synchronization. A case study on a customized furniture production factory demonstrates the feasibility of this method through optimistic results.

PROCEEDINGS OF THE 2021 IEEE 24TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD) (2021)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Digital twin to improve the virtual-real integration of industrial IoT

Zongmin Jiang et al.

Summary: This research analyzes the concept of digital twin and influential framework models, emphasizing the importance of data, models, and services in the implementation of digital twin. By applying this framework to IIoT device acquisition layer and remote system layer, the IoT system focuses on device-DT-application, promoting integration of physical and digital worlds.

JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION (2021)

添加到收藏夹

Article Engineering, Manufacturing

A unified digital twin framework for shop floor design in industry 4.0 manufacturing systems

Jay Lee et al.

Summary: Digital Twin and Cyber Physical Systems (CPS) integration is crucial for smart manufacturing, creating intelligent virtual counterparts for predictive insights and supporting advanced decision-making. The article presents a systematic framework to integrate digital twins from different perspectives for a comprehensive design solution in the shop floor.

MANUFACTURING LETTERS (2021)

添加到收藏夹

Article Engineering, Industrial

Digital Twin Based Real-time Production Logistics Synchronization System in a Multi-level Computing Architecture

Y. H. Pan et al.

Summary: This paper proposes a multi-level cloud computing enabled digital twin system for the real-time monitor, decision and control of a synchronized production logistics system, aiming to address the challenges brought by increasing demands for customized products.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

添加到收藏夹

Article Urban Studies

A digital twin smart city for citizen feedback

Gary White et al.

Summary: A digital twin is a digital representation of a physical process, place, system or device, originally designed for manufacturing processes but now used for smart city planning. By creating digital twin smart cities, the public can view 3D models of cities online to provide feedback, enhancing transparency and interaction in urban planning.

CITIES (2021)

添加到收藏夹

Article Computer Science, Information Systems

Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies

Hong-Ning Dai et al.

ENTERPRISE INFORMATION SYSTEMS (2020)

添加到收藏夹

Article Engineering, Multidisciplinary

The digital twin of discrete dynamic systems: Initial approaches and future challenges

R. Ganguli et al.

APPLIED MATHEMATICAL MODELLING (2020)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Visual computing technologies to support the Operator 4.0

Alvaro Segura et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2020)

添加到收藏夹

Article Automation & Control Systems

A Digital Twin Based Industrial Automation and Control System Security Architecture

Christian Gehrmann et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)

添加到收藏夹

Article Engineering, Industrial

Cognition Digital Twins for Personalized Information Systems of Smart Cities: Proof of Concept

Jing Du et al.

JOURNAL OF MANAGEMENT IN ENGINEERING (2020)

添加到收藏夹

Article Engineering, Industrial

Smart City Digital Twin-Enabled Energy Management: Toward Real-Time Urban Building Energy Benchmarking

Abigail Francisco et al.

JOURNAL OF MANAGEMENT IN ENGINEERING (2020)

添加到收藏夹

Article Nuclear Science & Technology

Predictive maintenance architecture development for nuclear infrastructure using machine learning

Hardik A. Gohel et al.

NUCLEAR ENGINEERING AND TECHNOLOGY (2020)

添加到收藏夹

Article Green & Sustainable Science & Technology

An integrated fault diagnosis and prognosis approach for predictive maintenance of wind turbine bearing with limited samples

Jinjiang Wang et al.

RENEWABLE ENERGY (2020)

添加到收藏夹

Article Engineering, Multidisciplinary

A machine-learning framework for rapid adaptive digital-twin based fire-propagation simulation in complex environments

T. I. Zohdi

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2020)

添加到收藏夹

Article Green & Sustainable Science & Technology

Digital Twin Reference Model Development to Prevent Operators' Risk in Process Plants

Maurizio Bevilacqua et al.

SUSTAINABILITY (2020)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing

Kosmas Alexopoulos et al.

INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING (2020)

添加到收藏夹

Article Engineering, Industrial

Developing WSN/BIM-Based Environmental Monitoring Management System for Parking Garages in Smart Cities

Yu-Cheng Lin et al.

JOURNAL OF MANAGEMENT IN ENGINEERING (2020)

添加到收藏夹

Article Engineering, Industrial

Developing a Digital Twin at Building and City Levels: Case Study of West Cambridge Campus

Qiuchen Lu et al.

JOURNAL OF MANAGEMENT IN ENGINEERING (2020)

添加到收藏夹

Article Green & Sustainable Science & Technology

Digital Twin of Experimental Smart Manufacturing Assembly System for Industry 4.0 Concept

Kamil Zidek et al.

SUSTAINABILITY (2020)

添加到收藏夹

Article Green & Sustainable Science & Technology

Integrating Virtual Reality and Digital Twin in Circular Economy Practices: A Laboratory Application Case

Roberto Rocca et al.

SUSTAINABILITY (2020)

添加到收藏夹

Article Engineering, Industrial

MES-integrated digital twin frameworks

Elisa Negri et al.

JOURNAL OF MANUFACTURING SYSTEMS (2020)

添加到收藏夹

Article Construction & Building Technology

Digital twin-enabled anomaly detection for built asset monitoring in operation and maintenance

Qiuchen Lu et al.

AUTOMATION IN CONSTRUCTION (2020)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Digital twin-enabled Graduation Intelligent Manufacturing System for fixed-position assembly islands

Daqiang Guo et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

A generic tri-model-based approach for product-level digital twin development in a smart manufacturing environment

Pai Zheng et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Web-based digital twin modeling and remote control of cyber-physical production systems

Chao Liu et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)

添加到收藏夹

Article Computer Science, Hardware & Architecture

Blockchain for Digital Twins: Recent Advances and Future Research Challenges

Ibrar Yaqoob et al.

IEEE NETWORK (2020)

添加到收藏夹

Article Automation & Control Systems

Achieving Predictive and Proactive Maintenance for High-Speed Railway Power Equipment With LSTM-RNN

Qi Wang et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)

添加到收藏夹

Article Geography, Physical

From LiDAR point cloud towards digital twin city: Clustering city objects based on Gestalt principles

Fan Xue et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)

添加到收藏夹

Article Engineering, Electrical & Electronic

Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models

Roberto Minerva et al.

PROCEEDINGS OF THE IEEE (2020)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

A hybrid predictive maintenance approach for CNC machine tool driven by Digital Twin

Weichao Luo et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)

添加到收藏夹

Article Engineering, Manufacturing

Deep learning based semantic segmentation of μCT images for creating digital material twins of fibrous reinforcements

Muhammad A. Ali et al.

COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING (2020)

添加到收藏夹

Article Computer Science, Theory & Methods

The Elastic Internet of Things - A platform for self-integrating and self-adaptive IoT-systems with support for embedded adaptive hardware

Alwyn Burger et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)

添加到收藏夹

Proceedings Paper Computer Science, Interdisciplinary Applications

SIMULATION-BASED DIGITAL TWIN DEVELOPMENT FOR BLOCKCHAIN ENABLED END-TO-END INDUSTRIAL HEMP SUPPLY CHAIN RISK MANAGEMENT

Keqi Wang et al.

2020 WINTER SIMULATION CONFERENCE (WSC) (2020)

添加到收藏夹

Proceedings Paper Engineering, Electrical & Electronic

Digital Twin and Virtual Reality for Safety Training

Tero Kaarlela et al.

2020 11TH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFOCOMMUNICATIONS (COGINFOCOM 2020) (2020)

添加到收藏夹

Proceedings Paper Automation & Control Systems

Digital Twin Enabled Asset Anomaly Detection for Building Facility Management

Xiang Xie et al.

IFAC PAPERSONLINE (2020)

添加到收藏夹

Article Engineering, Industrial

Deep learning enhanced digital twin for Closed-Loop In-Process quality improvement

Pasquale Franciosa et al.

CIRP ANNALS-MANUFACTURING TECHNOLOGY (2020)

添加到收藏夹

Proceedings Paper Engineering, Industrial

A Digital Twin Framework for Industry 4.0 Enabling Next-Gen Manufacturing

Mohsin Raza et al.

2020 9TH INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY AND MANAGEMENT (ICITM 2020) (2020)

添加到收藏夹

Review Optics

Machine Learning and Digital Twin Driven Diagnostics and Prognostics of Light-Emitting Diodes

Mesfin Seid Ibrahim et al.

LASER & PHOTONICS REVIEWS (2020)

添加到收藏夹

Proceedings Paper Computer Science, Theory & Methods

Method of predictive maintenance for induction furnace based on neural network

Yulim Choi et al.

2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (BIGCOMP 2020) (2020)

添加到收藏夹

Article Computer Science, Information Systems

A Blockchain-Based Approach for the Creation of Digital Twins

Haya R. Hasan et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Computer Science, Information Systems

Communications in the 6G Era

Harish Viswanathan et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Computer Science, Information Systems

Digital Twin: Enabling Technologies, Challenges and Open Research

Aidan Fuller et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Computer Science, Information Systems

MIGRATE: Mobile Device Virtualisation Through State Transfer

Jose Santa et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Computer Science, Information Systems

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

Adil Rasheed et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Computer Science, Information Systems

Hierarchical Attention-Based Astronaut Gesture Recognition: A Dataset and CNN Model

Gu Lingyun et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Digital twin-driven manufacturing cyber-physical system for parallel controlling of smart workshop

Jiewu Leng et al.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2019)

添加到收藏夹

Article Automation & Control Systems

Digital Twin in Industry: State-of-the-Art

Fei Tao et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)

添加到收藏夹

Article Engineering, Multidisciplinary

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

Fei Tao et al.

ENGINEERING (2019)

添加到收藏夹

Article Computer Science, Hardware & Architecture

6G Wireless Communications: Vision and Potential Techniques

Ping Yang et al.

IEEE NETWORK (2019)

添加到收藏夹

Article Engineering, Industrial

Fog computing and convolutional neural network enabled prognosis for machining process optimization

Y. C. Liang et al.

JOURNAL OF MANUFACTURING SYSTEMS (2019)

添加到收藏夹

Article Engineering, Civil

Development of a bridge maintenance system for prestressed concrete bridges using 3D digital twin model

Chang-Su Shim et al.

STRUCTURE AND INFRASTRUCTURE ENGINEERING (2019)

添加到收藏夹

Editorial Material Biochemistry & Molecular Biology

The limits of machine intelligence Despite progress in machine intelligence, artificial general intelligence is still a major challenge

Henry Shevlin et al.

EMBO REPORTS (2019)

添加到收藏夹

Article Engineering, Electrical & Electronic

6G WIRELESS NETWORKS Vision, Requirements, Architecture, and Key Technologies

Zhengquan Zhang et al.

IEEE VEHICULAR TECHNOLOGY MAGAZINE (2019)

添加到收藏夹

Article Green & Sustainable Science & Technology

Digital twin aided sustainability-based lifecycle management for railway turnout systems

Sakdirat Kaewunruen et al.

JOURNAL OF CLEANER PRODUCTION (2019)

添加到收藏夹

Article Engineering, Electrical & Electronic

Deep Learning for Hybrid 5G Services in Mobile Edge Computing Systems: Learn From a Digital Twin

Rui Dong et al.

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS (2019)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Classification of cyber-physical production systems applications: Proposition of an analysis framework

Olivier Cardin

COMPUTERS IN INDUSTRY (2019)

添加到收藏夹

Article Computer Science, Information Systems

The modelling and operations for the digital twin in the context of manufacturing

Jinsong Bao et al.

ENTERPRISE INFORMATION SYSTEMS (2019)

添加到收藏夹

Proceedings Paper Automation & Control Systems

A Digital Twin-based scheduling framework including Equipment Health Index and Genetic Algorithms

E. Negri et al.

IFAC PAPERSONLINE (2019)

添加到收藏夹

Article Computer Science, Information Systems

Prototyping a Digital Twin for Real Time Remote Control Over Mobile Networks: Application of Remote Surgery

Heikki Laaki et al.

IEEE ACCESS (2019)

添加到收藏夹

Proceedings Paper Computer Science, Interdisciplinary Applications

A REAL-TIME MECHANICAL STRUCTURES MONITORING SYSTEM BASED ON DIGITAL TWIN, IOT AND AUGMENTED REALITY

Roberto Revetria et al.

2019 SPRING SIMULATION CONFERENCE (SPRINGSIM) (2019)

添加到收藏夹

Article Information Science & Library Science

Machine Learning based Digital Twin Framework for Production Optimization in Petrochemical Industry

Qingfei Min et al.

INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT (2019)

添加到收藏夹

Proceedings Paper Computer Science, Theory & Methods

Digital Twin of an Automotive Brake Pad for Predictive Maintenance

P. K. Rajesh et al.

2ND INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ADVANCED COMPUTING ICRTAC -DISRUP - TIV INNOVATION , 2019 (2019)

添加到收藏夹

Proceedings Paper Engineering, Industrial

A enhanced interaction framework based on VR, AR and MR in digital twin

Shiqian Ke et al.

11TH CIRP CONFERENCE ON INDUSTRIAL PRODUCT-SERVICE SYSTEMS (2019)

添加到收藏夹

Proceedings Paper Engineering, Industrial

Digital twin enhanced human-machine interaction in product lifecycle

Xin Ma et al.

11TH CIRP CONFERENCE ON INDUSTRIAL PRODUCT-SERVICE SYSTEMS (2019)

添加到收藏夹

Proceedings Paper Automation & Control Systems

A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems

Yassine Qamsane et al.

2019 IEEE 15TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE) (2019)

添加到收藏夹

Proceedings Paper Automation & Control Systems

Enhancing Digital Twins through Reinforcement Learning

Constantin Cronrath et al.

2019 IEEE 15TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE) (2019)

添加到收藏夹

Proceedings Paper Engineering, Manufacturing

FMU-supported simulation for CPS Digital Twin

Elisa Negri et al.

7TH INTERNATIONAL CONFERENCE ON CHANGEABLE, AGILE, RECONFIGURABLE AND VIRTUAL PRODUCTION (CARV2018) (2019)

添加到收藏夹

Proceedings Paper Computer Science, Information Systems

A Distributed Ledger Approach to Digital Twin Secure Data Sharing

Marietheres Dietz et al.

DATA AND APPLICATIONS SECURITY AND PRIVACY XXXIII (2019)

添加到收藏夹

Proceedings Paper Automation & Control Systems

A Survey on the Necessity for a Digital Twin of Production in the Automotive Industry

Florian Biesinger et al.

2019 23RD INTERNATIONAL CONFERENCE ON MECHATRONICS TECHNOLOGY (ICMT 2019) (2019)

添加到收藏夹

Proceedings Paper Computer Science, Hardware & Architecture

Digital Twin in Industry 4.0: Technologies, Applications and Challenges

Flavia Pires et al.

2019 IEEE 17TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN) (2019)

添加到收藏夹

Article Computer Science, Information Systems

A Novel Cloud-Based Framework for the Elderly Healthcare Services Using Digital Twin

Ying Liu et al.

IEEE ACCESS (2019)

添加到收藏夹

Proceedings Paper Engineering, Industrial

Digital Twin Strategies for SoS 4 Challenges and 4 Architecture Setups for Digital Twins of SoS

Michael Borth et al.

2019 14TH ANNUAL CONFERENCE SYSTEM OF SYSTEMS ENGINEERING (SOSE) (2019)

添加到收藏夹

Article Computer Science, Information Systems

A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications

Barbara Rita Barricelli et al.

IEEE ACCESS (2019)

添加到收藏夹

Article Computer Science, Software Engineering

pybliometrics: Scriptable bibliometrics using a Python interface to Scopus

Michael E. Rose et al.

SOFTWAREX (2019)

添加到收藏夹

Proceedings Paper Automation & Control Systems

Connectivity Manager: Ensuring Robust Connections for Autonomous Ships

Marko Hoyhtya

2019 2ND INTERNATIONAL CONFERENCE ON INTELLIGENT AUTONOMOUS SYSTEMS (ICOIAS 2019) (2019)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

Digital Twin: Network Provisioning of Mission Critical Communication in Cyber Physical Production Systems

Geza Szabo et al.

2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRY 4.0, ARTIFICIAL INTELLIGENCE, AND COMMUNICATIONS TECHNOLOGY (IAICT) (2019)

添加到收藏夹

Proceedings Paper Computer Science, Theory & Methods

QUILT: Quality Inference from Living Digital Twins in IoT-Enabled Manufacturing Systems

Sujit Rokka Chhetri et al.

PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON INTERNET OF THINGS DESIGN AND IMPLEMENTATION (IOTDI '19) (2019)

添加到收藏夹

Article Computer Science, Information Systems

A Digital-Twin-Assisted Fault Diagnosis Using Deep Transfer Learning

Yan Xu et al.

IEEE ACCESS (2019)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

You're Fired, Says the Robot: The Rise of Automation in the Workplace, Technophobes, and Fears of Unemployment

Paul K. McClure

SOCIAL SCIENCE COMPUTER REVIEW (2018)

添加到收藏夹

Article Engineering, Industrial

Guiding the behavior of sociotechnical systems: The role of agent-based modeling

Babak Heydari et al.

SYSTEMS ENGINEERING (2018)

添加到收藏夹

Article Engineering, Electrical & Electronic

From Surveillance to Digital Twin Challenges and recent advances of signal processing for the industrial Internet of Things

Yuan He et al.

IEEE SIGNAL PROCESSING MAGAZINE (2018)

添加到收藏夹

Article Construction & Building Technology

Digital Twin for Sustainability Evaluation of Railway Station Buildings

Sakdirat Kaewunruen et al.

FRONTIERS IN BUILT ENVIRONMENT (2018)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Industrial IoT in 5G environment towards smart manufacturing

Jiangfeng Cheng et al.

JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION (2018)

添加到收藏夹

Proceedings Paper Computer Science, Interdisciplinary Applications

Robust digital twin compositions for Industry 4.0 smart manufacturing systems

Davy Preuveneers et al.

2018 IEEE 22ND INTERNATIONAL ENTERPRISE DISTRIBUTED OBJECT COMPUTING CONFERENCE WORKSHOPS (EDOCW 2018) (2018)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

Is Digital Thread/Digital Twin Affordable? A Systemic Assessment of the Cost of DoD's Latest Manhattan Project

Timothy D. West et al.

COMPLEX ADAPTIVE SYSTEMS CONFERENCE WITH THEME: ENGINEERING CYBER PHYSICAL SYSTEMS, CAS (2017)

添加到收藏夹

Article Multidisciplinary Sciences

Mastering the game of Go with deep neural networks and tree search

David Silver et al.

NATURE (2016)

添加到收藏夹

Article Social Sciences, Interdisciplinary

The ethics of algorithms: Mapping the debate

Brent Daniel Mittelstadt et al.

BIG DATA & SOCIETY (2016)

添加到收藏夹

Proceedings Paper Computer Science, Software Engineering

On the Role of Value Sensitive Concerns in Software Engineering Practice

Balbir Barn et al.

2015 IEEE/ACM 37TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, VOL 2 (2015)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

Interactive Gesture based Cataract Surgery Simulation

Akshay Jayakumar et al.

2015 FIFTH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING AND COMMUNICATIONS (ICACC) (2015)

添加到收藏夹

Article Multidisciplinary Sciences

Agent-based modeling: Methods and techniques for simulating human systems

E Bonabeau

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2002)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Deep blue

M Campbell et al.

ARTIFICIAL INTELLIGENCE (2002)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.