AI fault detection uses waveform analytics and machine learning to identify early electrical failure signatures in distribution systems. Utilities gain predictive insight into incipient faults, asset ...

Schematic view of a typical Smart Cable Guard setup with a monitored cable section spanning multiple RMUs installed in medium-voltage/low-voltage substations. Medium ...

"The image is Wrindu RDCD-?System Cable Fault Testing Equipment."Underground power cable faults remain one of the most common risks affecting power system reliability, safety, and operational ...

Incipient fault detection using AI classification represents a fundamental advancement in distribution system reliability engineering. By continuously analyzing waveform behavior and classifying ...

The increasing demand for energy as well as the rapid rise of greenhouse gas emissions due to the use of fossil fuels have made us invent new ways to generate renewable energy. The production of ...

A research team led by the University of Sharjah in the United Arab Emirates has developed a novel machine learning approach for fault detection in bifacial PV systems. The method combines a ...