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 ...

Microchip Technology has introduced full-stack edge AI solutions built around its microcontrollers and microprocessors to ...

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

CNIguard is transforming underground utility operations by shifting from reactive, break-fix approaches to proactive, ...

Sense, a company focused on grid edge intelligence, has announced a new edge-powered Fault Detection Solution that is embedded directly into next-generation smart meters.

Selecting the most likely faulty component from numerous candidate diagnoses has always been a focal point in model diagnostics. Existing methods require determining all candidate diagnoses first and ...