More than 90% of US outages start on the distribution grid. Sense says smart meters can now detect faults in real time.

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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) ...

In today's industries, quality inspection in semiconductor manufacturing is critical. Many traditional fault detection and diagnosis techniques have been developed to determine the existence of trends ...