Sponsored by Texas Instruments: One way to maximize the capabilities of high-voltage power-conversion systems without damaging their reliability is to develop a smart fault-protection strategy.

AWARE uses waveform signatures to detect and classify early-stage grid faults, enabling proactive intervention. The system combines physics-based models with AI/ML to interpret subtle electrical ...

Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any product change involves significant man-hours. Even then, it still misses a lot ...

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

A project run by Eaton and NREL has developed a tool that can detect powerline faults otherwise difficult to detect, enabling ...

India is planning to deploy artificial intelligence (AI) into the heart of its national electricity grid to enable real-time ...

Luenberger observers are used to estimate the states of a linear system. The difference between an estimated state and a measured state can be used for fault detection in a linear system. A switched ...

A group of researchers led by the University of Sharjah in the UAE proposed to use the convolutional neural network (CNN) technique to detect temperature and shading-induced faults in PV modules. CNN ...