New research describes multimodal sensor fusion for AI-based fault detection in 3D printing.

As electric vehicles (EVs) surge in popularity to combat climate change and reduce fossil fuel dependence, ensuring the ...

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 ...

Sense, a company focused on grid edge intelligence, has announced a new edge-powered Fault Detection Solution that is embedded directly into next-generation smart meters. The software gives utilities ...

Residential and commercial circuit breakers face three major challenges: detecting arc faults reliably, reducing false trips ...

Scientists in India have proposed using a multilayer neural network to find line-to-ground, line-to-line, and bypass diode faults in PV module strings. They tested the new approach on a 22.5 kW solar ...

Researchers have proposed a multimodal sensor fusion approach to AI-based fault detection in 3D printing, aiming to push AM monitoring closer to reliable, Industry 4.0 operation.

Denso’s fault detection device for antennas adjusts carrier wave frequency, modulates the signal, and measures antenna current to detect faults. By analyzing current values, the device identifies ...

A recent study has made a significant step forward in improving the energy efficiency of buildings by enhancing the accuracy and adaptability of fault detection and diagnosis (FDD) in heating, ...

CNIguard is transforming underground utility operations by shifting from reactive, break-fix approaches to proactive, ...