This paper presents a state-of-the-art review on machine learning (ML) based intelligent
diagnostics that have been applied for partial discharge (PD) detection, localization, and …

Power cables, the most critical component of the power system, must be extremely reliable
in order to avoid revenue losses due to premature failure. The dielectric properties of cable …

In power energy distribution networks, switchgear is considered critical equipment. This is
because the act of monitoring the operation and condition of switchgear, as well as …

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 …

Partial discharge detection is considered a crucial technique for evaluating insulation
performance and identifying defect types in cable terminals of high-speed electric multiple …

Regular maintenance of power equipment in high voltage power systems is essential for
avoiding outages. An effective way to maintain such systems is the measurement of partial …

In the insulating material, the event of PDs takes place due to the air pockets, voids, or
imperfections in such fields. In HV components like cables, the PD detection aids in …

Partial discharge (PD) represents a substantial hazard to the integrity and safety of high-
voltage cable systems, making the detection of such phenomena both a critical and …

As the research and development of autonomous vehicles has become more active, lane
detection technologies for providing road information have become key elements. There are …

Partial discharge (PD) pattern recognition approaches are designed to identify the types or
severities of the insulation defects within the high voltage equipment, which is vital for …