A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention ...

Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any ...

The California utility invented the AWARE system to mitigate outages, expedite restoration and improve productivity for the ...

This overcurrent fault-detection circuit uses a digital isolator (red) feeding into a non-isolated comparator (green) that will detect an overcurrent fault and disable the gate power drivers.

A project run by Eaton and NREL has developed a tool that can detect powerline faults otherwise difficult to detect, enabling utility companies to reduce the chance of both power outages and wildfires ...

A team of scientists at Georgia Southern University has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a ...

A groundbreaking data generation platform developed by researchers at RWTH Aachen University's Center for Ageing, Reliability ...

The scientists created a first model using only CNN and a second model based on the more extensive Mendeley database, which is not directly applicable to the fault detection system.

Hard semiconductor faults and filter capacitor failures have been widely documented, but these faults usually indicate a failure after a power system has shutdown. The focus of a fault detection ...