This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …

Partial discharge (PD) source classification aims to identify the types of defects causing
discharges in high voltage (HV) equipment. This paper presents a comprehensive study of …

Abstract Design, development, and testing of a comprehensive and automated classification
system for single and multiple PD source identification based on the relationship between …

In this paper, an algorithm for feature extraction and classification of high-pressure gas
insulation system defects based on statistical analysis of time-domain parameters of partial …

Two signal classification methods have been examined to discover their suitability for the
task of partial discharge (PD) identification. An experiment has been designed to artificially …

In this study, seventeen samples were created for classifying internal, surface, and corona
partial discharges (PDs) in a high voltage lab. Next, PDs were measured experimentally to …

Partial discharge (PD) detection, measurement and classification constitute an important tool
for quality assessment of insulation systems utilized in HV power apparatus and cables. The …

Partial Discharge (PD) pattern recognition has emerged as a subject of vital interest for the
diagnosis of complex insulation system of power equipment to personnel handling power …

In online condition assessment monitoring of high voltage (HV) insulators, it is often required
to identify multiple, simultaneously activated partial discharge (PD) sources that happen in …

Partial discharge (PD) measurements are an important tool for assessing the health of
power equipment. Different sources of PD have different effects on the insulation …