A review of fault location and classification methods in distribution grids
The evolution of the conventional power systems to smart grids has changed the way to
conceive and operate them. The part of the grid evolving the most is the distribution grid …
conceive and operate them. The part of the grid evolving the most is the distribution grid …
[HTML][HTML] Fault detection and classification with the rebmix R package
M Nagode, B Panić, J Klemenc, S Oman - Computers & Industrial …, 2023 - Elsevier
Fault detection and classification is an important part of assessing the structural and system
health status. The classification and detection of faults and faulty units is mostly done with …
health status. The classification and detection of faults and faulty units is mostly done with …
A multi-rate sampling PMU-based event classification in active distribution grids with spectral graph neural network
Phasor measurement units (PMUs) are time-synchronized measurement devices that have
been proliferated in transmission networks during the last two decades. Recently, there have …
been proliferated in transmission networks during the last two decades. Recently, there have …
FW-UAV fault diagnosis based on knowledge complementary network under small sample
Y Zhang, S Li, A Zhang, X An - Mechanical Systems and Signal Processing, 2024 - Elsevier
Abstract Fixed Wing Unmanned Aerial Vehicles (FW-UAVs) are prone to faults when
performing a variety of tasks, which can lead to mission failure and even pose a safety risk …
performing a variety of tasks, which can lead to mission failure and even pose a safety risk …
Google earth engine based computational system for the earth and environment monitoring applications during the COVID-19 pandemic using thresholding technique …
Observing the earth and environmental conditions during the COVID-19 pandemic lockdown
along with travel restrictions headed to worse circumstance. These scenarios amplified the …
along with travel restrictions headed to worse circumstance. These scenarios amplified the …
A hybrid robust-stochastic approach for unit commitment scheduling in integrated thermal electrical systems considering high penetration of solar power
With increasing environmental concerns, limited oil reserves and governmental incentives,
installation of photovoltaic (PV) systems have gained substantial momentum in smart electric …
installation of photovoltaic (PV) systems have gained substantial momentum in smart electric …
[HTML][HTML] Power transmission system's fault location, detection, and classification: Pay close attention to transmission nodes
CC Ukwuoma, D Cai, O Bamisile… - International Journal of …, 2024 - Elsevier
For transmission systems to operate safely and reliably, fault identification and classification
are essential. However, power network physical architecture and data information cannot be …
are essential. However, power network physical architecture and data information cannot be …
Role of artificial intelligence in transmission line protection: A review of three decades of research
The optimal functioning of the power system is crucially dependent upon the sound
protection of its major stakeholder, ie, the transmission line, as it is prone to fault. To …
protection of its major stakeholder, ie, the transmission line, as it is prone to fault. To …
Event classification in active distribution grids using physics-informed graph neural network and PMU measurements
M MansourLakouraj, M Gautam… - 2022 IEEE Industry …, 2022 - ieeexplore.ieee.org
Power distribution systems are prone to experience several events such as sudden load or
distributed energy re-source (DER) fluctuations, or asset failures that can impact their …
distributed energy re-source (DER) fluctuations, or asset failures that can impact their …
Operation Pattern Recognition of the Refrigeration, Heating and Hot Water Combined Air-Conditioning System in Building Based on Clustering Method
Y Guo, J Liu, C Liu, J Zhu, J Lu, Y Li - Processes, 2023 - mdpi.com
Air-conditioning system operation pattern recognition plays an important role in the fault
diagnosis and energy saving of the building. Most machine learning methods need labeled …
diagnosis and energy saving of the building. Most machine learning methods need labeled …