AI-enhanced time–frequency domain reflectometry for robust series arc fault detection in DC grids

HP Park, GY Kwon, CK Lee, SJ Chang - Measurement, 2024 - Elsevier
The generation of series arc fault (SAF) within DC grids poses a significant hazard,
potentially leading to electrical fires. However, developing a diagnostic method that is robust …

Frequency domain nuances guided parallel transformer model for industrial anomaly localization

J Zhao, K Yu, Y Miao, Y Wang, Y Ma, J Zhang… - … Applications of Artificial …, 2025 - Elsevier
Unsupervised visual anomaly localization research has garnered significant attention in
industrial component surface quality inspection tasks, particularly in realistic scenarios …

AI-based remaining useful life prediction for transmission systems: Integrating operating conditions with TimeGAN and CNN-LSTM networks

YS Sim, CK Lee, JS Hwang, GY Kwon… - Electric Power Systems …, 2025 - Elsevier
The remaining useful life (RUL) prediction is key for ensuring the stability of transmission
power systems. However, there is no sufficient actual life-cycle, and no mature physics-of …

Enhanced incipient fault identification in underground distribution cable implementing Random Forest classifier

PK Sahoo, S Mishra, M Das, SC Swain - Microsystem Technologies, 2024 - Springer
Insulation defects in the underground cable mostly cause incipient faults. These insulation
defects create current spikes and are difficult to detect by the conventional relay. The …

A Non-destructive Measurement Method for XLPE/SiR Interface Pressure of Flexible Cable Terminal based on External Deformation Inversion Calculation

Y Li, Y Liu, P Duan, Y Xu, K Zhou… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
The insulation reliability of flexible cable terminals is largly determined by its interface
pressure. A timely and accurate measurement of the pressure is hence of great importance …

[HTML][HTML] Simulation and Calculation of Temperature Field and Current-Carrying Capacity of Power Cables under Different Laying Methods

Y Nie, D Chen, S Zheng, X Xu, X Wang, Z Wu - Energies, 2024 - mdpi.com
Precisely determining how cables distribute their current-carrying capacity and temperature
field is crucial for the dependable and cost-effective functioning of power grids. Firstly, the …

High-Voltage Cable Buffer Layer Ablation Fault Identification Based on Artificial Intelligence and Frequency Domain Impedance Spectroscopy

J Liu, M Ma, X Liu, H Xu - Sensors, 2024 - mdpi.com
In recent years, the occurrence of high-voltage cable buffer layer ablation faults has become
frequent, posing a serious threat to the safe and stable operation of cables. Failure to …

[HTML][HTML] Operation Risk Assessment of Urban Dense Cable Passageway Based on Fuzzy-Analytic Hierarchy Process

Y Nie, D Chen, S Zheng, X Xu, X Wang, Z Wu - Applied Sciences, 2024 - mdpi.com
With the acceleration of urbanization, the development and utilization of urban underground
spaces are becoming increasingly frequent, and the potential risks in the operation of urban …

Development of Quench Detection Method Around the Joint Box for HTS Cable Using TFDR and EM Algorithm

HM Seong, YS Sim, GS Lee… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
A high-temperature superconducting (HTS) cable system requires cooling system to
maintain a superconducting state. If a local fault occurs in the HTS cable, a fault current that …

Two-Wire Cable Anomaly Diagnosis with Machine Learning Based on Passive Measurements

E Balestrieri, P Daponte, L De Vito… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
This paper proposes a passive measurement method for the diagnosis of anomalies in two-
wire cables that relies on Machine Learning. The proposed method requires the acquisition …