Fault diagnosis for electrical systems and power networks: A review

CM Furse, M Kafal, R Razzaghi… - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
In this paper, we review the state of the art in the detection, location, and diagnosis of faults
in electrical wiring interconnection systems (EWIS) including in the electric power grid and …

Industrial applications of cable diagnostics and monitoring cables via time–frequency domain reflectometry

HM Lee, GS Lee, GY Kwon, SS Bang… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
The demand for cable diagnostics and monitoring techniques has increased significantly in
recent decades. Various diagnostic tests such as partial discharge, dielectric loss, and …

Online monitoring for power cables in DFIG-based wind farms using high-frequency resonance analysis

Y Wu, P Zhang - IEEE Transactions on Sustainable Energy, 2021 - ieeexplore.ieee.org
Increasing demand for renewable energy has led to a rapid growth of doubly fed induction
generator (DFIG)-based wind farms around the world. As a critical component of the DFIG …

Defect detection in pipelines via guided wave-based time–frequency-domain reflectometry

SS Bang, YH Lee, YJ Shin - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In order to improve the performance of the conventional guided wave testing (GWT) with a
low sensitivity on damage in pipelines, a new GWT based on time-frequency-domain …

Classification of faults in multicore cable via time–frequency domain reflectometry

SS Bang, YJ Shin - IEEE Transactions on Industrial Electronics, 2019 - ieeexplore.ieee.org
Owing to the increasing complexity of electrical systems, diagnostic techniques of cables
used for connecting electrical elements are essential for system maintenance in order to …

Fault detection and localization of shielded cable via optimal detection of time–frequency-domain reflectometry

H Lim, GY Kwon, YJ Shin - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In recent years, as reliance on factory automation increases, real-time surveillance
techniques for electrical systems have received substantial attention. In particular, the fault …

Incipient Fault Detection in Power Distribution System: A Time–Frequency Embedded Deep-Learning-Based Approach

Q Li, H Luo, H Cheng, Y Deng, W Sun… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Incipient fault detection in power distribution systems is crucial to improve the reliability of
the grid. However, the nonstationary nature and the inadequacy of the training dataset due …

Analysis and diagnosis of shielded cable faults based on finite-element method and time-reversal time-frequency domain reflectometry

X Hua, L Wang, Y Zhang - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
Due to the electrical, thermal, and mechanical stress, the insulating materials of cable
undergo a slow aging process in service, which leads to the decline of insulation …

Fault location method for three-core cable using amplitude ratio of shield-grounding wire currents

P Zhang, L Kong, R Liang, B Xu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With significant technological advancements in power grids, three-core cables are widely
employed for their safety and other benefits. In general, three-core cables in medium-voltage …

Detection and characterization of multiple discontinuities in cables with time-domain reflectometry and convolutional neural networks

M Scarpetta, M Spadavecchia, F Adamo, MA Ragolia… - Sensors, 2021 - mdpi.com
In this paper, a convolutional neural network for the detection and characterization of
impedance discontinuity points in cables is presented. The neural network analyzes time …