[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 …

A comprehensive review on DC Microgrid protection schemes

S Baidya, C Nandi - Electric Power Systems Research, 2022 - Elsevier
The attractiveness towards the DC Microgrid is mounting rapidly due to self-sustained
arrangement that consist of distributed energy resources (DERs) which can also work in an …

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 …

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 …

Computer vision system for welding inspection of liquefied petroleum gas pressure vessels based on combined digital image processing and deep learning …

YJ Cruz, M Rivas, R Quiza, G Beruvides, RE Haber - Sensors, 2020 - mdpi.com
One of the most important operations during the manufacturing process of a pressure vessel
is welding. The result of this operation has a great impact on the vessel integrity; thus …

Series AC arc fault detection method based on high-frequency coupling sensor and convolution neural network

R Chu, P Schweitzer, R Zhang - Sensors, 2020 - mdpi.com
Arc faults induced by residential low-voltage distribution network lines are still one of the
main causes of residential fires. When a series arc fault occurs on the line, the value of the …

Series arc fault detection using regular signals and time-series reconstruction

R Jiang, Y Zheng - IEEE Transactions on Industrial Electronics, 2022 - ieeexplore.ieee.org
This article investigates into signal regularity in ac series arc fault (SAF) detection. The
regularity can solve the vital problem that SAF current characteristics change or disappear in …

Developing deep neural network for damage detection of beam-like structures using dynamic response based on FE model and real healthy state

Z Mousavi, MM Ettefagh, MH Sadeghi, SN Razavi - Applied Acoustics, 2020 - Elsevier
Abstract Fundamentally, Structural Health Monitoring (SHM) of mechanical systems is
essential to avoid their catastrophic failure. The first key contribution of this paper is …

A DC series arc fault detection method based on a lightweight convolutional neural network used in photovoltaic system

Y Wang, C Bai, X Qian, W Liu, C Zhu, L Ge - Energies, 2022 - mdpi.com
Although photovoltaic (PV) systems play an essential role in distributed generation systems,
they also suffer from serious safety concerns due to DC series arc faults. This paper …

AC Series Arc Fault Detection Based on RLC Arc Model and Convolutional Neural Network

R Jiang, Y Wang, X Gao, G Bao, Q Hong… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
AC series arc faults in the power system can lead to electrical fires. However, the
generalization performance of the determined detection method would be affected under …