AI fault detection uses waveform analytics and machine learning to identify early electrical failure signatures in distribution systems. Utilities gain predictive insight into incipient faults, asset ...

Incipient fault detection using AI classification represents a fundamental advancement in distribution system reliability engineering. By continuously analyzing waveform behavior and classifying ...

RS offers an extensive selection of smart products optimized to support predictive maintenance strategies and improve mechanical power system reliability ...

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 ...

After years of rapid advancement in cloud‑centric AI training and inference, the industry is reaching an edge AI tipping point.

From predictive maintenance to training, digital twins are becoming a core platform for operational efficiency in these sectors.

Today’s high-performance voltage supervisors are more than voltage monitors. These components are turning into fully integrated solutions for detecting system faults and ...

A key requirement is the use of ML-DSA-87 (Dilithium 5) for firmware and software signing, ensuring that secure boot and system integrity remain protected in a post-quantum world. It also mandates ...

Maybe things are actually improving, and querulous residents are too ill-tempered and so worn down by service delivery ...