An Australian research team has developed a five-step, rule-based method that detects and classifies underperformance in PV systems using only AC-side inverter data. Validated across more than 1,000 ...

A dual-model battery health assessment framework analyzes real-world voltage data from retired EV batteries in grid storage. Using incremental ...

AI users and developers can now measure the amount of electricity various AI models consume to complete tasks with an ...

Using commercially available technology and innovative methods, researchers at NBI have pushed the limits of how fast you can ...

Industrial quality inspection plays a critical role in manufacturing, from ensuring the reliability of electronics and vehicles to preventing costly failures in aerospace and energy systems.

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.