Photovoltaic (PV) systems have emerged as a cornerstone of sustainable energy generation worldwide. Their performance reliability and longevity depend on advanced operation, maintenance, and fault ...
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 ...
Reliability of the power-conversion system is a critical issue, especially at high power levels. Application areas that fall under this umbrella include solar-powered inverters, motor drives, electric ...
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 ...
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) ...
Market growth is driven by industrial automation, predictive maintenance demand, AI/ML analytics adoption, IoT integration, and the need to reduce downtime and operational costs.Austin, Jan. 27, 2026 ...
CURRENT Group, LLC has announced advanced distribution current sensing and remote underground (URD) fault detection. Using the three components of a Smart Grid -- high-speed communications, embedded ...
Total Quality Systems, Roy, Utah, has been awarded a $7,055,753 firm-fixed-price contract for Small Business Innovative Research Phase III Intermittent Fault Detection and Isolation System, which will ...
As the world shifts towards greener transportation solutions, electric vehicles (EVs) are at the forefront of this transformation. However, one of the significant challenges facing EVs is the ...
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 ...
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