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

In this study, we explore an image-based method to automate the manual anomaly detection process on quality control plots using deep learning. To do this we trained a Convolutional Neural Network (CNN ...

A team of scientists in the United States has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a dataset ...

Early Fault Detection technology has been trialled in several Australian states but a national rollout is a long way off.

The incidents are the latest in a rash of earthquakes reported in the Carolinas over the last two weeks.