Deep learning in high voltage engineering: A literature review

S Mantach, A Lutfi, H Moradi Tavasani, A Ashraf… - Energies, 2022 - mdpi.com
Condition monitoring of high voltage apparatus is of much importance for the maintenance
of electric power systems. Whether it is detecting faults or partial discharges that take place …

Towards secured online monitoring for digitalized GIS against cyber-attacks based on IoT and machine learning

M Elsisi, MQ Tran, K Mahmoud, DEA Mansour… - Ieee …, 2021 - ieeexplore.ieee.org
Recently, the Internet of Things (IoT) has an important role in the growth and development of
digitalized electric power stations while offering ambitious opportunities, specifically real …

A review of parallel heterogeneous computing algorithms in power systems

D Rodriguez, D Gomez, D Alvarez, S Rivera - Algorithms, 2021 - mdpi.com
The power system expansion and the integration of technologies, such as renewable
generation, distributed generation, high voltage direct current, and energy storage, have …

Classification of partial discharge images using deep convolutional neural networks

M Florkowski - Energies, 2020 - mdpi.com
Artificial intelligence-based solutions and applications have great potential in various fields
of electrical power engineering. The problem of the electrical reliability of power equipment …

A novel differentiable neural network architecture automatic search method for GIS partial discharge pattern recognition

Q Jing, J Yan, Y Wang, R He, L Lu - Measurement, 2022 - Elsevier
Convolutional neural network (CNN) has been extensively used in pattern recognition of
partial discharge (PD) in gas-insulated switchgear (GIS) because of its powerful feature …

Deep ensemble model for unknown partial discharge diagnosis in gas-insulated switchgears using convolutional neural networks

VN Tuyet-Doan, HA Pho, B Lee, YH Kim - IEEE Access, 2021 - ieeexplore.ieee.org
Deep neural networks (DNNs) are widely used for fault classification using partial
discharges (PDs) to evaluate various electrical apparatuses and achieve high classification …

A novel method for pattern recognition of GIS partial discharge via multi-information ensemble learning

Q Jing, J Yan, L Lu, Y Xu, F Yang - Entropy, 2022 - mdpi.com
Partial discharge (PD) is the main feature that effectively reflects the internal insulation
defects of gas-insulated switchgear (GIS). It is of great significance to diagnose the types of …

Novel denoizing method for partial discharge signals using singular value decomposition and spectral subtraction

Y Xu, Y Jing, Y Wang, R He, J Wang… - IET Science …, 2023 - Wiley Online Library
Partial discharge (PD) detection is essential in assessing the insulation state of electrical
equipment. However, PD signals are often overwhelmed by interference, resulting in …

Anomaly detection, trend evolution, and feature extraction in partial discharge patterns

M Florkowski - Energies, 2021 - mdpi.com
In the resilient and reliable electrical power system, the condition of high voltage insulation
plays a crucial role. In the field of high voltage insulation integrity, the partial discharge (PD) …

Partial discharge online detection for long-term operational sustainability of on-site low voltage distribution network using CNN transfer learning

J Kim, KI Kim - Sustainability, 2021 - mdpi.com
Partial discharge (PD) detection studies aiming at the fault diagnosis for facilities and power
cables in transmission networks have been conducted over the years. Recently, the deep …