Parkinson's disease (PD) is a neurodegenerative condition generated by the dysfunction of
brain cells and their 60–80% inability to produce dopamine, an organic chemical …

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 …

Modern power grids are undergoing a significant transformation with the massive integration
of renewable, decentralized, and electronically interfaced energy sources, alongside new …

Electric and magnetic fields accompany technical personnel in their working environment
(work exposure). That is why many countries have the appropriate regulations. The impact of …

The issue of detecting and locating defects generating partial discharges (PDs) is very
important for the proper functioning of power grids. Despite the existence of many …

Classification is one of the most common methods of supervised learning, which is divided
into a process of data acquisition, data mining, feature analysis, machine learning algorithm …

Electric Transformers make up some of the most critical components of a power system.
Their reliable operation is critical for an efficient power grid as well as economic viability for …

Partial discharge detection is of great significance for the stable operation of Gas Insulated
Switchgear equipment. The common methods for partial discharge detection currently …