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Digital Twins and Applications
ISSN 2995-2182 · Wiley · 69 artikel di indeks
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Artikel Jurnal
A Hybrid Ultra‐High Voltage DC Transformer With Digital Twin‐Driven Operation and Control
ABSTRACT In the context of large‐scale renewable energy transmission, to enhance the economic efficiency and operational flexibility of the ultra‐high voltage DC transformer (UHVDCT), a hybrid UHVDCT with digital twin (DT)‐driven operation and control is introduced. The proposed UHVDCT adopts a…
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Artikel Jurnal
Predictive Natural Gas Distribution Control Strategy Based on Digital Twin Models for Offshore Multi‐Platform
ABSTRACT The utilisation of associated gas for power generation in offshore oilfields is essential for improving resource efficiency, yet operations remain hampered by substantial gas flaring and heavy reliance on manual experience. This paper presents a digital twin‐based predictive control…
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Artikel Jurnal
AI and Digital Twins: A Mutualistic Symbiotic Relationship
ABSTRACT Rapid AI advancements have primarily focused on enhancing digital twins (DTs) using artificial intelligence (AI), as seen in the author's earlier research addressing scaling challenges such as computing resource efficiency and manual insight generation. Conversely, existing research on…
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Artikel Jurnal
Physics‐Inspired, Ageing‐Aware Digital Twin Framework for Long‐Term Performance Prediction in Bioreactor Systems
ABSTRACT Conventional bioreactor models and many existing digital twin formulations commonly assume constant transport and thermal properties, which limits their ability to represent the gradual degradation that occurs during long‐term operation. In practical bioprocess systems, ageing mechanisms…
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Artikel Jurnal
A Digital Twin‐Oriented Simulation Framework for Emergency Evacuation Path Optimisation in Underground Coal Mines Integrating Personnel Positioning and Environmental Monitoring
ABSTRACT Emergency evacuation in underground coal mines is hindered by the inability of static escape plans to adapt to rapidly changing post‐disaster conditions. This study constructs a digital twin‐oriented simulation framework integrating ultra‐wideband (UWB) personnel positioning with…
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Artikel Jurnal
Physics‐Informed Neural Networks for Real‐Time Updating and Synchronisation in Digital Twins: A Focused Review
ABSTRACT Physics‐informed neural networks (PINNs) provide a promising paradigm for integrating governing physical laws with data‐driven learning in digital twin systems. However, existing studies and reviews have primarily emphasised offline prediction accuracy or domain‐specific applications…
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Artikel Jurnal
Digital Twin‐Enabled Additive Manufacturing: A Comprehensive Review of Architectures, Integration Layers and Operational Maturity
ABSTRACT Digital twin‐enabled additive manufacturing (DT‐AM) represents a critical advancement in industrial intelligence, yet its current fragmented implementations necessitate a comprehensive systematic analysis. This review rigorously examines DT‐AM architectures, integration frameworks, and…
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Artikel Jurnal
Integrating Digital Twins, Data Management and Artificial Intelligence for Predictive Maintenance in Aviation: A Comprehensive Review
ABSTRACT Predictive maintenance (PdM) plays a critical role in enhancing safety, operational efficiency and cost‐effectiveness in the aviation industry by enabling condition‐based maintenance strategies instead of traditional schedule‐driven approaches. This paper presents a systematic scoping…
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Artikel Jurnal
Digital Twin‐Driven Two‐Stage Bi‐Level Collaborative Operation Strategy for Multi‐Microgrids Considering Energy Sharing and Price Incentives
ABSTRACT To enhance the techno‐economic performance and robustness of multi‐microgrids (MMG) systems, this paper proposes a two‐stage bi‐level collaborative optimisation strategy integrating energy sharing and price incentives. In the day‐ahead stage, the shared energy storage operator (SESO) at…
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Artikel Jurnal
Digital Twin‐Driven Gait Analysis Integrating Wearable Inertial Sensor and Deep Learning
ABSTRACT Gait analysis offers significant potential for personalised health assessment and enhances the understanding of musculoskeletal dynamics in biomechanical studies. To meet the growing need for intelligent gait analysis, a digital twin (DT)‐driven gait analysis framework integrating wearable…
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Artikel Jurnal
Digital Twin of an Electrical Insulation System: Data Communication, Predictive Models and Health Condition
ABSTRACT Digital twins, DT, are being developed to emulate behaviour, control, performance and operation of electrical assets. For the purpose of simulation, testing, monitoring and maintenance of asset components, work shall be done to integrate in a DT ageing modelling, reliability, design…
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Artikel Jurnal
Framework for a Digital Twin System in Corrosion Prediction
ABSTRACT Accurate corrosion prediction in complex automotive assemblies remains challenging due to fragmented data sources, simplified geometry representations and limited integration between simulation, physical testing and AI‐based analysis. Existing approaches typically address isolated aspects…
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Artikel Jurnal
Digital Twin‐Driven Dynamic Probabilistic Power Flow in Distribution Networks via Semi‐Invariant Method
ABSTRACT With the growing penetration of renewable energy, traditional power flow methods struggle to capture the multidimensional uncertainties and abrupt meteorological shifts in active distribution networks. To address this, the paper proposes a digital twin‐driven probabilistic power flow…
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Artikel Jurnal
Multi‐UAV Path‐Coverage Task Allocation for Aircraft Surface Inspection Under Non‐Uniform Viewpoint Distribution: Density‐Adaptive Clustering‐Distance Method
ABSTRACT For large‐aircraft surface inspection, nonuniform viewpoint distribution and wide task scope make Euclidean‐distance clustering difficult to jointly achieve path efficiency and workload balance. To address this, we propose a density‐adaptive clustering distance dDA, allowing density…
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Artikel Jurnal
Enhancing Predictive Maintenance Accuracy Through Edge Computing and Digital Twins for Industrial Motors
ABSTRACT Machinery and equipment failures in the industrial sector often lead to significant losses in time and materials. To mitigate these losses, predictive maintenance processes are essential for identifying and preventing potential breakdowns. This paper proposes a model that integrates edge…
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Artikel Jurnal
Digital Twin–Driven Low‐Carbon and Economic Scheduling for Integrated Energy System With Learnt Energy–Carbon Coupling Constraints
ABSTRACT The intractable nonlinear relationship between energy flow and carbon emission flow (CEF) challenges the low‐carbon scheduling of integrated energy systems (IES). To address this issue, this paper proposes a digital twin‐driven low‐carbon economic scheduling approach for…
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Artikel Jurnal
Digital Twin‐Driven Closed Loop for Photovoltaic Power Plant Cleaning Decision‐Making: Considering Spatial Heterogeneity and Self‐Learning Feedback
ABSTRACT Soiling substantially erodes long‐term PV plant efficiency, making well‐timed cleaning economically critical. Existing methods are mostly open‐loop and hence lacking feedback and adaptation. This work proposes a closed‐loop digital twin framework linking physical and virtual plants via…
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Artikel Jurnal
Operationalising a Digital Twin for Electric Bus Dispatch: Quantile‐Transfer Calibration and Policy‐Ready Rulebooks
ABSTRACT Battery‐electric bus (BEB) dispatch reliability in hot climates is limited by day‐to‐day variability in energy demand and by uncertainty in auxiliary loads and charging access. We develop a telemetry‐anchored digital twin workflow that converts a calibrated MATLAB/Simulink longitudinal…
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Artikel Jurnal
Design of a Digital Twin System for Deepwater Installation Systems
ABSTRACT With the rapid advancement of deepwater oil and gas exploration, subsea operations are facing increasingly complex environments and technical challenges. As water depth increases, the difficulty of installation, operational risks and uncertainties grow significantly, resulting in shorter…
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Artikel Jurnal
A Holistic Framework for Airport Spatial Data Maintenance: Bridging Theory and Practice
ABSTRACT Effective spatial data maintenance during the operation and maintenance phase of airports is imperative for the infrastructure safety, operational effectiveness, and compliance with regulations. However, airports encounter serious challenges such as lack of management support, insufficient…