A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy ...

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 ...

Members can download this article in PDF format. High-voltage systems serve applications ranging from renewable-energy generation to industrial motor control. Such systems require precise control to ...

IC manufacturers are increasingly relying on intelligent data processing to prevent downtime, improve yields, and reduce scrap. They are integrating that with fault detection and classification (FDC) ...

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 ...

Modified transformer model with one encoder and two decoders. Image Credit: Zi-Cheng W. et al. An essential part of a building’s energy consumption is the HVAC systems; however, they are prone to ...

A groundbreaking data generation platform developed by researchers at RWTH Aachen University's Center for Ageing, Reliability and Lifetime Prediction of Electrochemical and Power Electronic Systems ...

From autonomous vehicles to optical testing, these sensors bring high performance infrared detection into real-world systems.