[HTML][HTML] Arc fault detection using artificial intelligence: Challenges and benefits

C Tian, Z Xu, L Wang, Y Liu - Mathematical Biosciences and …, 2023 - aimspress.com
This systematic review aims to investigate recent developments in the area of arc fault
detection. The rising demand for electricity and concomitant expansion of energy systems …

Series DC arc fault detection using machine learning algorithms

HL Dang, J Kim, S Kwak, S Choi - IEEE Access, 2021 - ieeexplore.ieee.org
The wide variety of arc faults induced by different load types renders residential series arc
fault detection complicated and challenging. Series dc arc faults could cause fire accidents …

ArcNet: Series AC arc fault detection based on raw current and convolutional neural network

Y Wang, L Hou, KC Paul, Y Ban… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
AC series arc is dangerous and can cause serious electric fire hazards and property
damage. This article proposed a convolutional neural network-based arc detection model …

A transformer neural network for AC series arc-fault detection

A Chabert, MC Bakkay, P Schweitzer, S Weber… - … Applications of Artificial …, 2023 - Elsevier
Detecting series arcing faults in the electrical networks of aircraft can help mitigate dramatic
consequences such as fires. Non-Artificial Intelligence algorithms often fail to generalise due …

[HTML][HTML] A novel arc fault detector for early detection of electrical fires

K Yang, R Zhang, J Yang, C Liu, S Chen, F Zhang - Sensors, 2016 - mdpi.com
Arc faults can produce very high temperatures and can easily ignite combustible materials;
thus, they represent one of the most important causes of electrical fires. The application of …

Series arc fault detection based on random forest and deep neural network

J Jiang, W Li, Z Wen, Y Bie, H Schwarz… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Series arc is prone to cause fire accidents, but its occurrences induced by different load
types and connections make the detection challengeable. This paper proposes a series arc …

[HTML][HTML] A novel methodology for series arc fault detection by temporal domain visualization and convolutional neural network

K Yang, R Chu, R Zhang, J Xiao, R Tu - Sensors, 2019 - mdpi.com
AC arc faults are one of the most important causes of residential electrical wiring fires, which
may produce extremely high temperatures and easily ignite surrounding combustible …

Series DC arc fault detection based on ensemble machine learning

V Le, X Yao, C Miller, BH Tsao - IEEE Transactions on Power …, 2020 - ieeexplore.ieee.org
Series dc arc fault creates a fire hazard and negative impacts on the distribution bus if not
detected and isolated quickly. However, the detection of a series arc fault is challenging due …

Series AC arc fault detection method based on hybrid time and frequency analysis and fully connected neural network

Y Wang, F Zhang, X Zhang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The variety of arc fault induced by different load types makes residential series arc fault
detection complicated and challengeable. This paper proposes a hybrid time and frequency …

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 …