It is well known that a correlation exist between the pattern of partial discharge (PD)
behavior and the insulation quality. Since different sources of partial discharge have their …

In order to investigate how artificial neural networks (ANNs) have been applied for partial
discharge (PD) pattern recognition, this paper reviews recent progress made on ANN …

Partial discharge (PD) is not only an important symptom for monitoring the imperfections in
the insulation system of a gas-insulated switchgear (GIS), but also the factor that accelerates …

Partial discharge (PD) activities due to void and crack in high-voltage cross-linked
polyethylene (XLPE) cables deteriorate insulation properties. The existence of void amplifies …

Cable joints are the weakest point in cross-linked polyethylene (XLPE) cables and are
susceptible to insulation failures. Partial discharge (PD) analysis is a vital tool for assessing …

In this paper, the concept of ensemble learning is adopted and applied to modeling multi-
target regression problems with high-dimensional feature spaces and a small number of …

Quantum neural networks hold significant promise for numerous applications, particularly as
they can be executed on the current generation of quantum hardware. However, due to …

This paper compared the capabilities of the artificial neural network (ANN) and the fuzzy
logic (FL) approaches for recognizing and discriminating partial discharge (PD) fault …

New technological advances based on software, hardware and new materials must be
implemented in smart grids. In addition, these advanced electrical grids must incorporate …

In recent years, deep learning has been successfully used in order to classify partial
discharges (PDs) for assessing the condition of insulation systems in different electrical …