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 ...

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.

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

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

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

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 ...