Online monitoring of Partial Discharges (PDs) in rotating electrical machines is an useful tool
for machine prognosis, as it presents reduced costs compared to intrusive inspections and is …

The health of the hydroelectric generator determines the safe, stable, and reliable operation
of the hydropower station. In order to keep the hydroelectric generator in a better state of …

Sediment wear is a significant cause of hydro-turbine failure. The wavelet threshold and
ensemble empirical mode decomposition (WT-EEMD) method is proposed to denoising the …

Purpose This study aims to emphasize utilization of Predictive Six Sigma to achieve process
improvements based on machine learning (ML) techniques embedded in define, measure …

Detection of partial discharge (PD) in switchgears requires extensive data collection and
time-consuming analyses. Data from real live operational environments pose great …

In this study, a methodology for automatic recognition of multiple simultaneous types of
partial discharges (PDs) in hydro-generator stator windings was proposed. All the seven PD …

Image medical semantic segmentation has been employed in various areas, including
medical imaging, computer vision, and intelligent transportation. In this study, the method of …

In this paper, a novel image denoising algorithm and novel input features are proposed. The
algorithm is applied to phase-resolved partial discharge (PRPD) diagrams with a single …

Multiple linear regressions are an important tool used to find the relationship between a set
of variables used in various scientific experiments. In this article we are going to introduce a …

Regular maintenance and testing of high-voltage assets are important for avoiding outages.
Measurement of partial discharges (PDs) is commonly employed to monitor the health of the …