Machine learning applications in health monitoring of renewable energy systems
Rapidly evolving renewable energy generation technologies and the ever-increasing scale
of renewable energy installations are driving the need for more accurate, faster, and smarter …
of renewable energy installations are driving the need for more accurate, faster, and smarter …
DC arc-fault detection based on empirical mode decomposition of arc signatures and support vector machine
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 …
normal operation and safety. However, series arc faults that establish current paths in the air …
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 …
(SAF) and parallel arc fault (PAF) may occur due to aging of joints or other reasons. It may …
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 …
rectifiers, and frequency converters, the circuit current will contain complicated harmonic …
Recurrence plots based method for detecting series arc faults in photovoltaic systems
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 …
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
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 …
to fire and electric shock hazards. This article concentrates on driving effective models …
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 …
regularity can solve the vital problem that SAF current characteristics change or disappear in …
Multicharacteristics arc model and autocorrelation-algorithm based arc fault detector for DC microgrid
DC microgrids contribute to the increasing penetration of renewable energies. However, a
dc arc fault will lead to malfunctions and even fire hazards in a dc microgrid. To ensure the …
dc arc fault will lead to malfunctions and even fire hazards in a dc microgrid. To ensure the …
Identifying DC series and parallel arcs based on deep learning algorithms
HL Dang, S Kwak, S Choi - IEEE Access, 2022 - ieeexplore.ieee.org
Arc phenomena are usually related to the undesired disengagement of two electrical
connections. The emission power discharge from the failure arc may damage wiring and can …
connections. The emission power discharge from the failure arc may damage wiring and can …
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 …
generalization performance of the determined detection method would be affected under …