Application of machine learning methods in fault detection and classification of power transmission lines: a survey
The rising development of power systems and smart grids calls for advanced fault diagnosis
techniques to prevent undesired interruptions and expenses. One of the most important part …
techniques to prevent undesired interruptions and expenses. One of the most important part …
Real-time sensing and fault diagnosis for transmission lines
Protection of high voltage transmission lines is one of the crucial problems in the power
system engineering. Accurate and timely detection and identification of transmission line …
system engineering. Accurate and timely detection and identification of transmission line …
A transfer learning-based method to detect insulator faults of high-voltage transmission lines via aerial images: distinguishing intact and broken insulator images
Deep learning methods have shown great promise in high-voltage transmission lines'(TLs')
intelligent inspections. The expansion of power systems, including TLs, has brought the …
intelligent inspections. The expansion of power systems, including TLs, has brought the …
Generalized fault diagnosis method of transmission lines using transfer learning technique
Recent artificial intelligence-based methods have shown great promise in the use of neural
networks for real-time detection of transmission line faults and estimation of their locations …
networks for real-time detection of transmission line faults and estimation of their locations …
Transfer learning for fault diagnosis of transmission lines
Recent artificial intelligence-based methods have shown great promise in the use of neural
networks for real-time sensing and detection of transmission line faults and estimation of …
networks for real-time sensing and detection of transmission line faults and estimation of …
Human-wildlife conflict early warning system using the internet of things and short message service
Human-wildlife conflict (HWC) is an important challenge to communities living in areas
bordering wildlife game parks and reserves. It is more evident in the United Republic of …
bordering wildlife game parks and reserves. It is more evident in the United Republic of …
Design and analysis of news category predictor
Recent technological advancements have changed significantly the way news is produced,
consumed, and disseminated. Frequent and on-spot news reporting has been enabled …
consumed, and disseminated. Frequent and on-spot news reporting has been enabled …
CNN-Based Detection of Welding Crack Defects in Radiographic Non-Destructive Testing
AM AlShareef, M Alnowaimi, M Siddig - Saudi International Conference On …, 2023 - Springer
In the industrial sector, the focus in recent years has been on enhancing production and
minimizing human error. Therefore, engineers have used Non-Destructive Testing to …
minimizing human error. Therefore, engineers have used Non-Destructive Testing to …
A stochastic power flow-based static security assessment under uncertain scenarios
Y Zhang, X Tian, L Zhang - Frontiers in Energy Research, 2024 - frontiersin.org
With the gradual increase in the grid-connected capacity of renewable energy sources, the
uncertainty in the operation of power systems has increased, posing challenges to static …
uncertainty in the operation of power systems has increased, posing challenges to static …
Enhancing Grid Resilience: Machine Learning-Based Electrical Fault Detection in Power Systems
T Bhandari, P Payne, MK Gourisaria… - 2024 IEEE Third …, 2024 - ieeexplore.ieee.org
Electrical fault detection is one of the most critical aspects of maintaining grid resilience and
reducing downtime in power systems. However there is a scarcity of adequet systems to …
reducing downtime in power systems. However there is a scarcity of adequet systems to …