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 …
Ship diesel engine fault diagnosis using data science and machine learning
One of the most important elements of the reliability structure of a motor vessel is its power
subsystem, with the most crucial component being the engine. An engine failure excludes …
subsystem, with the most crucial component being the engine. An engine failure excludes …
Power line monitoring through data integrity analysis with Q-learning based data analysis network
R Maskeliūnas, R Pomarnacki, V Khang Huynh… - Remote Sensing, 2022 - mdpi.com
To monitor and handle big data obtained from electrical, electronic, electro-mechanical, and
other equipment linked to the power grid effectively and efficiently, it is important to monitor …
other equipment linked to the power grid effectively and efficiently, it is important to monitor …
[HTML][HTML] Support vector machine for fast fault detection and classification in modern power systems using quarter cycle data
This work proposes a support vector machine (SVM) based fault detection and classification
method for a transmission system. The novelty of this work is that the time and frequency …
method for a transmission system. The novelty of this work is that the time and frequency …
Incipient fault detection and process monitoring of thermal power plant pulverizing system based on deep representation learning
Process data in contemporary thermal power plants shows the characteristics of large
capacity, strong coupling, and high-order nonlinearity, which brings great challenges to …
capacity, strong coupling, and high-order nonlinearity, which brings great challenges to …
An alternate method to detect and classify the transmission line faults using Clarke's transformed currents
R Velpula, M Nagarajan, R Pitchaimuthu - Electric Power Systems …, 2024 - Elsevier
The transmission line is an essential and long element that plays a vital role in the operation
of an electric power system. Quick and accurate fault detection along with classification …
of an electric power system. Quick and accurate fault detection along with classification …
An algorithm for power transmission line fault detection based on improved YOLOv4 model
S Yan, L Gao, W Wang, G Cao, S Han, S Wang - Scientific Reports, 2024 - nature.com
In response to the escalating demand for real-time and accurate fault detection in power
transmission lines, this paper undertook an optimization of the existing YOLOv4 network …
transmission lines, this paper undertook an optimization of the existing YOLOv4 network …
Power Line Extraction and Tree Risk Detection Based on Airborne LiDAR
S Xi, Z Zhang, Y Niu, H Li, Q Zhang - Sensors, 2023 - mdpi.com
Transmission lines are the basis of human production and activities. In order to ensure their
safe operation, it is essential to regularly conduct transmission line inspections and identify …
safe operation, it is essential to regularly conduct transmission line inspections and identify …
A comparative analysis of different transmission line fault detectors and classifiers during normal conditions and cyber‐attacks
Transmission lines, the core part of the transmission and distribution system in the smart
grid, require effective, efficient, and reliable protective measures against faults to avoid …
grid, require effective, efficient, and reliable protective measures against faults to avoid …
Artificial neural networks and their applications to intelligent fault diagnosis of power transmission lines
FM Shakiba - 2022 - search.proquest.com
Over the past thirty years, the idea of computing based on models inspired by human brains
and biological neural networks emerged. Artificial neural networks play an important role in …
and biological neural networks emerged. Artificial neural networks play an important role in …