Condition monitoring based on partial discharge diagnostics using machine learning methods: A comprehensive state-of-the-art review
This paper presents a state-of-the-art review on machine learning (ML) based intelligent
diagnostics that have been applied for partial discharge (PD) detection, localization, and …
diagnostics that have been applied for partial discharge (PD) detection, localization, and …
Fault prediction based on leakage current in contaminated insulators using enhanced time series forecasting models
To improve the monitoring of the electrical power grid, it is necessary to evaluate the
influence of contamination in relation to leakage current and its progression to a disruptive …
influence of contamination in relation to leakage current and its progression to a disruptive …
[HTML][HTML] Hybrid-YOLO for classification of insulators defects in transmission lines based on UAV
Transmission power lines are essential to supply electrical energy to consumption centers.
Keeping a reliable transmission system requires the early identification of faults. Image …
Keeping a reliable transmission system requires the early identification of faults. Image …
Semi-ProtoPNet deep neural network for the classification of defective power grid distribution structures
Power distribution grids are typically installed outdoors and are exposed to environmental
conditions. When contamination accumulates in the structures of the network, there may be …
conditions. When contamination accumulates in the structures of the network, there may be …
Optimized EWT-Seq2Seq-LSTM with attention mechanism to insulators fault prediction
Insulators installed outdoors are vulnerable to the accumulation of contaminants on their
surface, which raise their conductivity and increase leakage current until a flashover occurs …
surface, which raise their conductivity and increase leakage current until a flashover occurs …
Classification of Contaminated Insulators Using k-Nearest Neighbors Based on Computer Vision
Contamination on insulators may increase the surface conductivity of the insulator, and as a
consequence, electrical discharges occur more frequently, which can lead to interruptions in …
consequence, electrical discharges occur more frequently, which can lead to interruptions in …
Hybrid wavelet stacking ensemble model for insulators contamination forecasting
Contaminated insulators can have higher surface conductivity, which can result in
irreversible failures in the electrical power system. In this paper, the ultrasound equipment is …
irreversible failures in the electrical power system. In this paper, the ultrasound equipment is …
Analysis of the ultrasonic signal in polymeric contaminated insulators through ensemble learning methods
Outdoor insulators may experience stress due to severe environmental conditions, such as
pollution and contamination. Through the identification of partial discharges by ultrasonic …
pollution and contamination. Through the identification of partial discharges by ultrasonic …
Wavelet group method of data handling for fault prediction in electrical power insulators
Electric power is increasingly being used in the globalized day-to-day and keeping the
electric power system running is necessary. Insulators are important components of the …
electric power system running is necessary. Insulators are important components of the …
Evaluation of visible contamination on power grid insulators using convolutional neural networks
The contamination of insulators increases their surface conductivity, resulting in a higher
chance of shutdowns occurring. To measure contamination, equivalent salt deposit density …
chance of shutdowns occurring. To measure contamination, equivalent salt deposit density …