Review of the digital twin technology applications for electrical equipment lifecycle management

AI Khalyasmaa, AI Stepanova, SA Eroshenko… - Mathematics, 2023 - mdpi.com
Digital twin is one of the emerging technologies for the digital transformation of the power
industry. Many existing studies claim that the widespread application of digital twins will shift …

Digital twin-driven fault diagnosis method for composite faults by combining virtual and real data

C Yang, B Cai, Q Wu, C Wang, W Ge, Z Hu… - Journal of Industrial …, 2023 - Elsevier
The subsea production system is essential for the subsea production of oil and gas. Real-
time monitoring can ensure safe production. The subsea production control system is the …

A Comprehensive Review of Digital Twin Technology for Grid-Connected Microgrid Systems: State of the Art, Potential and Challenges Faced

N Kumari, A Sharma, B Tran, N Chilamkurti… - Energies, 2023 - mdpi.com
The concept of the digital twin has been adopted as an important aspect in digital
transformation of power systems. Although the notion of the digital twin is not new, its …

Human digital twin for personalized elderly type 2 diabetes management

P Thamotharan, S Srinivasan, J Kesavadev… - Journal of Clinical …, 2023 - mdpi.com
Managing Elderly type 2 diabetes (E-T2D) is challenging due to geriatric conditions (eg, co-
morbidity, multiple drug intake, etc.), and personalization becomes paramount for precision …

[HTML][HTML] The advance of digital twin for predictive maintenance: The role and function of machine learning

C Chen, H Fu, Y Zheng, F Tao, Y Liu - Journal of Manufacturing Systems, 2023 - Elsevier
The recent advance of digital twin (DT) has greatly facilitated the development of predictive
maintenance (PdM). DT for PdM enables accurate equipment status recognition and …

A digital twin model of life-cycle rolling bearing with multiscale fault evolution combined with different scale local fault extension mechanism

T Li, H Shi, X Bai, K Zhang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The digital twin of life-cycle rolling bearing is significant for its degradation performance
analysis and condition prediction. To solve the problem which is not reliable to arrange the …

[HTML][HTML] Artificial intelligence and digital twins in power systems: Trends, synergies and opportunities

Z Shen, F Arraño-Vargas, G Konstantinou - Digital Twin, 2023 - digitaltwin1.org
Artificial Intelligence (AI) promises solutions to the challenges raised by the digitalization of
power grids and their assets. Decision-making, forecasting and even operational …

Spatiotemporal generative adversarial imputation networks: An approach to address missing data for wind turbines

X Hu, Z Zhan, D Ma, S Zhang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Wind turbine data collection often suffers from missing data due to network blockage and
sensor failure. Existing data imputation methods require complete datasets for training and …

Review of Electric Vehicle Testing Procedures for Digital Twin Development: A Comprehensive Analysis

V Rjabtšikov, A Rassõlkin, K Kudelina, A Kallaste… - Energies, 2023 - mdpi.com
This article explores the transformative potential of digital twin (DT) technology in the
automotive sector, focusing on its applications in enhancing propulsion drive systems. DT …

Anomaly detection and classification method for wind speed data of wind turbines using spatiotemporal dependency structure

Y Li, X Shen - IEEE Transactions on Sustainable Energy, 2023 - ieeexplore.ieee.org
Detection of anomalous wind speed time series in measurements is considered crucial for
the operation and maintenance of wind speed sensors on wind turbines, as they generally …