A comprehensive review of DC arc faults and their mechanisms, detection, early warning strategies, and protection in battery systems

W Xu, X Wu, Y Li, H Wang, L Lu, M Ouyang - Renewable and Sustainable …, 2023 - Elsevier
With the active promotion of green, low-carbon, and intelligent strategies in the energy
sector, the application of battery systems such as electric vehicles and energy storage …

A comprehensive review on DC arc faults and their diagnosis methods in photovoltaic systems

S Lu, BT Phung, D Zhang - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Integration of renewable energy including solar energy is growing faster than ever before.
Solar energy supplies more than 1.3% of global power, and it is predicted to become the …

Revolutionizing solar energy: The impact of artificial intelligence on photovoltaic systems

A Mohammad, F Mahjabeen - International Journal of …, 2023 - jurnal.itscience.org
Artificial intelligence (AI) integration in the solar energy industry has created new
opportunities for resha** the renewable energy sector. The numerous ways that AI is …

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 …

DA-DCGAN: An effective methodology for DC series arc fault diagnosis in photovoltaic systems

S Lu, T Sirojan, BT Phung, D Zhang… - IEEE Access, 2019 - ieeexplore.ieee.org
DC arc faults, especially series arcing, can occur in photovoltaic (PV) systems and pose a
challenging detection and protection problem. Machine learning-based methods are …

EEG dataset classification using CNN method

WL Mao, HIK Fathurrahman, Y Lee… - Journal of physics …, 2020 - iopscience.iop.org
This paper proposes a simple Convolutional Neural Network (CNN) program to classify
epileptic seizure. The diagnosis of epileptic seizure involves the identification and different …

A review for solar panel fire accident prevention in large-scale PV applications

Z Wu, Y Hu, JX Wen, F Zhou, X Ye - IEEE Access, 2020 - ieeexplore.ieee.org
Due to the wide applications of solar photovoltaic (PV) technology, safe operation and
maintenance of the installed solar panels become more critical as there are potential …

Series arc fault detection and localization in DC distribution system

Q **ong, X Feng, AL Gattozzi, X Liu… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Series arc faults can cause fire hazards in dc distribution systems. During a series arc fault,
the line impedance usually increases rapidly and the arc current includes high-frequency …

A novel DC arc fault detection method based on electromagnetic radiation signal

Q **ong, S Ji, L Zhu, L Zhong… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Because of lack of current zero, dc arc is hard to be extinguished, which has become the
main reason causing faults in dc system. To find an effective method to detect dc arc faults is …

Series arc fault identification for photovoltaic system based on time-domain and time-frequency-domain analysis

S Chen, X Li, J **ong - IEEE Journal of Photovoltaics, 2017 - ieeexplore.ieee.org
This paper aims at providing a reliable algorithm to identify photovoltaic (PV) series arc
faults regardless of complex fault-like interferences. Through conducting various arc fault …