Fault prediction based on leakage current in contaminated insulators using enhanced time series forecasting models

NF Sopelsa Neto, SF Stefenon, LH Meyer, RG Ovejero… - Sensors, 2022 - mdpi.com
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 …

Artificial intelligence of things applied to assistive technology: a systematic literature review

MP de Freitas, VA Piai, RH Farias, AMR Fernandes… - Sensors, 2022 - mdpi.com
According to the World Health Organization, about 15% of the world's population has some
form of disability. Assistive Technology, in this context, contributes directly to the overcoming …

Time series forecasting using ensemble learning methods for emergency prevention in hydroelectric power plants with dam

SF Stefenon, MHDM Ribeiro, A Nied, KC Yow… - Electric Power Systems …, 2022 - Elsevier
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 …

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 …

Machine fault detection using a hybrid CNN-LSTM attention-based model

A Borré, LO Seman, E Camponogara, SF Stefenon… - Sensors, 2023 - mdpi.com
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 …

Echo state network applied for classification of medium voltage insulators

SF Stefenon, LO Seman, NFS Neto, LH Meyer… - International Journal of …, 2022 - Elsevier
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 …

Classification of Contaminated Insulators Using k-Nearest Neighbors Based on Computer Vision

MP Corso, FL Perez, SF Stefenon, KC Yow… - Computers, 2021 - mdpi.com
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 …

Hybrid wavelet stacking ensemble model for insulators contamination forecasting

SF Stefenon, MHDM Ribeiro, A Nied, VC Mariani… - IEEE …, 2021 - ieeexplore.ieee.org
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 …

Digital twin in electrical machine control and predictive maintenance: state-of-the-art and future prospects

G Falekas, A Karlis - Energies, 2021 - mdpi.com
State-of-the-art Predictive Maintenance (PM) of Electrical Machines (EMs) focuses on
employing Artificial Intelligence (AI) methods with well-established measurement and …

Wavelet group method of data handling for fault prediction in electrical power insulators

SF Stefenon, MHDM Ribeiro, A Nied, VC Mariani… - International Journal of …, 2020 - Elsevier
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 …