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This article presents a comprehensive overview of the digital twin technology and its capability levels, with a specific focus on its applications in the wind energy industry. It consolidates the definitions of digital twin and its…

Digital Twins bring several benefits for planning, operation, and maintenance of remote offshore assets. In this work, we explain the digital twin concept and the capability level scale in the context of wind energy. Furthermore, we…

Signal Processing · Electrical Eng. & Systems 2023-04-04 Florian Stadtmann , Henrik Gusdal Wassertheurer , Adil Rasheed

In this work, a digital twin with standalone, descriptive, and predictive capabilities is created for an existing onshore wind farm located in complex terrain. A standalone digital twin is implemented with a virtual-reality-enabled 3D…

Signal Processing · Electrical Eng. & Systems 2023-07-06 Florian Stadtmann , Adil Rasheed , Tore Rasmussen

A digital twin can be defined as an adaptive model of a complex physical system. Recent advances in computational pipelines, multiphysics solvers, artificial intelligence, big data cybernetics, data processing and management tools bring the…

Signal Processing · Electrical Eng. & Systems 2019-10-07 Adil Rasheed , Omer San , Trond Kvamsdal

A digital twin is a powerful tool that can help monitor and optimize physical assets in real-time. Simply put, it is a virtual representation of a physical asset, enabled through data and simulators, that can be used for a variety of…

Computer Vision and Pattern Recognition · Computer Science 2023-03-01 Elias Mohammed Elfarri , Adil Rasheed , Omer San

Digital twinning in structural engineering is a rapidly evolving technology that aims to eliminate the gap between physical systems and their digital models through real-time sensing, visualization, and control techniques. Although Digital…

Applications · Statistics 2024-08-28 Zeyu Wang , Ziqi Wang

The wind-induced structural response forecasting capabilities of a novel transformer methodology are examined here. The model also provides a digital twin component for bridge structural health monitoring. Firstly, the approach uses the…

Machine Learning · Computer Science 2026-04-03 Feiyu Zhou , Marios Impraimakis

In the way towards Industry 4.0, the complexity of the industrial systems increases due to the presence of multiple agents, Cyber-Physical Systems, distributed sensing, and big data introducing unknown dynamics that affect the production…

Signal Processing · Electrical Eng. & Systems 2020-07-09 Jairo Viola , YangQuan Chen

Digital Twins promise to deliver a step-change in distribution system operations and planning, but there are few real-world examples that explore the challenges of combining imperfect model and measurement data, and then use these as the…

Systems and Control · Electrical Eng. & Systems 2023-11-21 Matthew Deakin , Marta Vanin , Zhong Fan , Dirk Van Hertem

Wind turbine is a complex machine with its rotating and non-rotating equipment being sensitive to faults. Due to increased wear and tear, the maintenance aspect of a wind turbine is of critical importance. Unexpected failure of wind turbine…

Signal Processing · Electrical Eng. & Systems 2022-05-10 Mili Wadhwani , Sakshi Deshmukh , Harsh S. Dhiman

We live in a world of exploding complexity driven by technical evolution as well as highly volatile socio-economic environments. Managing complexity is a key issue in everyday decision making such as providing safe, sustainable, and…

Computers and Society · Computer Science 2023-11-28 Dirk Hartmann

The real-time supervision of production processes is a common challenge across several industries. It targets process component monitoring and its predictive maintenance in order to ensure safety, uninterrupted production and maintain high…

Machine Learning · Computer Science 2026-02-27 Osimone Imhogiemhe , Yoann Jus , Hubert Lejeune , Saïd Moussaoui

Emerging technologies and applications make the network unprecedentedly complex and heterogeneous, leading physical network practices to be costly and risky. The digital twin network (DTN) can ease these burdens by virtually enabling users…

Networking and Internet Architecture · Computer Science 2022-06-02 Linbo Hui , Mowei Wang , Liang Zhang , Lu Lu , Yong Cui

Motivated by climate change, increasing industrialization and energy reliability concerns, the smart grid is set to revolutionize traditional power systems. Moreover, the exponential annual rise in number of grid-connected users and…

Networking and Internet Architecture · Computer Science 2023-08-03 Abdullah Othman , Georges Kaddoum , Joao V. C. Evangelista , Minh Au , Basile L. Agba

Smart ecosystems are the drivers of modern society. They control infrastructures of socio-techno-economic importance, ensuring their stable and sustainable operation. Smart ecosystems are governed by digital twins -- real-time virtual…

Software Engineering · Computer Science 2024-08-21 Judith Michael , Istvan David , Dominik Bork

Digital twin (DT) is one of the most promising enabling technologies for realizing smart grids. Characterized by seamless and active---data-driven, real-time, and closed-loop---integration between digital and physical spaces, a DT is much…

Signal Processing · Electrical Eng. & Systems 2019-09-17 Xing He , Qian Ai , Robert C. Qiu , Dongxia Zhang

This article presents a vision where \textit{real-time} digital twins of the physical wireless environments are continuously updated using multi-modal sensing data from the distributed infrastructure and user devices, and are used to make…

Signal Processing · Electrical Eng. & Systems 2023-01-27 Ahmed Alkhateeb , Shuaifeng Jiang , Gouranga Charan

The Digital Twins offer promising solutions for smart grid challenges related to the optimal operation, management, and control of energy assets, for safe and reliable distribution of energy. These challenges are more pressing nowadays than…

Systems and Control · Electrical Eng. & Systems 2021-04-19 Tudor Cioara , Ionut Anghel , Marcel Antal , Ioan Salomie , Claudia Antal , Arcas Gabriel Ioan

Digital twins promise to revolutionize engineering by offering new avenues for optimization, control, and predictive maintenance. We propose a novel framework for simultaneously training the digital twin of an engineering system and an…

Systems and Control · Electrical Eng. & Systems 2024-07-12 Lorenzo Schena , Pedro Marques , Romain Poletti , Samuel Ahizi , Jan Van den Berghe , Miguel A. Mendez

Emerging from NASA's spacecraft simulations in the 1960s, digital twin technology has advanced through industrial adoption to spark a healthcare transformation. A digital twin is a dynamic, data-driven virtual counterpart of a physical…

Artificial Intelligence · Computer Science 2025-11-27 Yunqi Zhang , Kuangyu Shi , Biao Li
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