[HTML][HTML] 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] Digital twin in electrical machine control and predictive maintenance: State-of-the-art and future prospects
State-of-the-art Predictive Maintenance (PM) of Electrical Machines (EMs) focuses on
employing Artificial Intelligence (AI) methods with well-established measurement and …
employing Artificial Intelligence (AI) methods with well-established measurement and …
Time series forecasting using ensemble learning methods for emergency prevention in hydroelectric power plants with dam
In hydroelectric plants, the responsibility for the operation of the reservoirs typically lies with
the national system operator, who controls the level of the reservoirs based on a stochastic …
the national system operator, who controls the level of the reservoirs based on a stochastic …
[HTML][HTML] Wavelet LSTM for fault forecasting in electrical power grids
NW Branco, MSM Cavalca, SF Stefenon, VRQ Leithardt - Sensors, 2022 - mdpi.com
An electric power distribution utility is responsible for providing energy to consumers in a
continuous and stable way. Failures in the electrical power system reduce the reliability …
continuous and stable way. Failures in the electrical power system reduce the reliability …
[HTML][HTML] 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 …
[HTML][HTML] Machine fault detection using a hybrid CNN-LSTM attention-based model
The predictive maintenance of electrical machines is a critical issue for companies, as it can
greatly reduce maintenance costs, increase efficiency, and minimize downtime. In this …
greatly reduce maintenance costs, increase efficiency, and minimize downtime. In this …
Echo state network applied for classification of medium voltage insulators
Insulators are components of electrical power grid that have the function of mechanically
supporting cables and isolating electrical potential. The proper functioning of the insulators …
supporting cables and isolating electrical potential. The proper functioning of the insulators …
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 …
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 …
Comparison of artificial intelligence techniques to failure prediction in contaminated insulators based on leakage current
A Medeiros, A Sartori, SF Stefenon… - Journal of Intelligent …, 2022 - content.iospress.com
Contamination in insulators results in an increase in surface conductivity. With higher
surface conductivity, insulators are more vulnerable to discharges that can damage them …
surface conductivity, insulators are more vulnerable to discharges that can damage them …