Arc fault protections for aeronautic applications: A review identifying the effects, detection methods, current progress, limitations, future challenges, and research …

JR Riba, M Moreno-Eguilaz… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Arc faults are serious discharges, damaging insulation systems, and triggering electrical
fires. This is a transversal topic, affecting from residential to aeronautic applications. Current …

Multi-branch AC arc fault detection based on ICEEMDAN and LightGBM algorithm

Y Meng, Q Yang, S Chen, Q Wang, X Li - Electric Power Systems Research, 2023 - Elsevier
The operation characteristics of household appliances would interfere with the arc fault
detection. Especially in the case of the multi-branch circuit, the arc fault information is mixed …

Recognition method of AC series arc fault characteristics under complicated harmonic conditions

C Han, Z Wang, A Tang, H Gao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Due to the power quality problems and the use of some nonlinear loads such as soft starters,
rectifiers, and frequency converters, the circuit current will contain complicated harmonic …

An on-line detection method and device of series arc fault based on lightweight CNN

Z Wang, S Tian, H Gao, C Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To quickly and accurately detect the series arc fault (SAF) in three-phase motor with
frequency converter load (TMFCL) circuit, a SAF identification model based on convolutional …

Low-voltage series arc fault detection based on ECMC and VB-SCN

J Li, G Zou, W Wang, N Shao, B Han, L Wei - Electric Power Systems …, 2023 - Elsevier
The currents of low-voltage series arc faults are non-stationary and nonlinear, so the
selection of fault features and the adaptability of the detection algorithm will affect the …

Deep learning-based series AC arc detection algorithms

CJ Park, HL Dang, S Kwak, S Choi - Journal of Power Electronics, 2021 - Springer
Various studies on arc detection methods are described. Series AC arc is detected based on
the characteristics extracted from arc voltage, frequency, and time domain of the current …

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, develo** a diagnostic method that is robust …

Long short-term memory autoencoder neural networks based dc pulsed load monitoring using short-time fourier transform feature extraction

Y Ma, A Maqsood, K Corzine… - 2020 IEEE 29th …, 2020 - ieeexplore.ieee.org
Dc loads are increasingly used in electric ship power systems supplying a larger amount of
power electronic loads. The need for load monitoring and fault detection in dc microgrids …

Detection of parallel arc fault on photovoltaic system based on fast Fourier Transform

M Murtadho, E Prasetyono… - 2020 International …, 2020 - ieeexplore.ieee.org
Photovoltaic is one of the alternative electric producers that is widely used considering the
availability of the main source of photovoltaic. The photovoltaic as an electrical energy …

Research on voltage-current type series arc fault detection method based on composite multi-scale entropy

N Wu, M Peng, J Wang, M Wu, Q Lu, Y Wang… - Electric Power Systems …, 2025 - Elsevier
This work presents a composite multi-scale entropy voltage-current type arc fault detection
approach to address the issues of interference arc fault identification during load activation …