While both periodic narrowband noise and white noise are significant sources of
interference in the detection and localization of partial discharge (PD) signals in power …

This paper presents a Dynamic Adam and dropout based deep neural network (DADDNN)
for fault diagnosis of oil-immersed power transformers. To solve the problem of incomplete …

Condition-based maintenance decision-making of transformers is essential to electric
enterprises for avoiding financial losses. However, precise transformer condition …

This paper presents comparative analysis of various acoustic signals expected during partial
discharge (PD) measurements in operating power transformer. Main purpose of the paper is …

The main purpose of the presented research is to investigate the partial discharge (PD)
phenomenon variability under long-term AC voltage with particular consideration of the …

In this research article an attempt is made to investigate the effect of hydrostatic pressure on
the propagation behavior of Partial Discharge (PD) acoustic emission (AE) signals in a …

In this paper, oil-paper samples composed of transformer windings were used to investigate
the insulation degradation process subjected to partial discharge (PD), with artificial defects …