DC arc-fault detection based on empirical mode decomposition of arc signatures and support vector machine

W Miao, Q Xu, KH Lam, PWT Pong… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Protection devices are extensively utilized in direct current (DC) systems to ensure their
normal operation and safety. However, series arc faults that establish current paths in the air …

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 …

Detection and classification of faults in photovoltaic arrays using a 3D convolutional neural network

YY Hong, RA Pula - Energy, 2022 - Elsevier
Operations in an electric distribution system become challenging because the penetration of
renewables (such as large photovoltaic (PV) arrays) becomes high nowadays. The detection …

Intelligent DC arc-fault detection of solar PV power generation system via optimized VMD-based signal processing and PSO–SVM classifier

X Cai, RJ Wai - IEEE Journal of Photovoltaics, 2022 - ieeexplore.ieee.org
In a solar photovoltaic (PV) power generation system, arc faults including series arc fault
(SAF) and parallel arc fault (PAF) may occur due to aging of joints or other reasons. It may …

Multi-sensor signals multi-scale fusion method for fault detection of high-speed and high-power diesel engine under variable operating conditions

J Liang, Z Mao, F Liu, X Kong, J Zhang… - Engineering Applications of …, 2023 - Elsevier
Detecting faults in high-speed and high-power diesel engines under complex variable
operating conditions is highly challenging. Online vibration monitoring systems have been …

A novel series arc fault detection method for photovoltaic system based on multi-input neural network

X Chen, W Gao, C Hong, Y Tu - International Journal of Electrical Power & …, 2022 - Elsevier
There is a risk of fire caused by series arc failure in the operation of photovoltaic (PV)
system. Therefore, it is required to discuss a solution for rapid arc fault detection. To address …

Recurrence plots based method for detecting series arc faults in photovoltaic systems

A Amiri, H Samet, T Ghanbari - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
Series arc faults (SAFs) are the most common faults in photovoltaic systems. If a SAF is not
detected in time, it may lead to some catastrophic damages to the system. This article …

An enhanced Cassie–Mayr-based approach for DC series arc modeling in PV systems

M Jalil, H Samet, T Ghanbari… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
DC series arc faults are known as a great threat in photovoltaic (PV) systems that may lead
to fire and electric shock hazards. This article concentrates on driving effective models …

Lightweight transfer nets and adversarial data augmentation for photovoltaic series arc fault detection with limited fault data

S Lu, R Ma, T Sirojan, BT Phung, D Zhang - International Journal of …, 2021 - Elsevier
Incidents of DC series arc faults in Photovoltaic (PV) systems are becoming more common,
posing significant threat to properties and human safety. Machine Learning (ML) based …

Series arc fault diagnosis method of photovoltaic arrays based on GASF and improved DCGAN

W Gao, H **, G Yang - Advanced Engineering Informatics, 2022 - Elsevier
In recent years, the methods of machine learning are widely investigated to resolve the
series arc fault (SAF) diagnosis problem in photovoltaic (PV) arrays. However, owing to the …