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 ...

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

Residential and commercial circuit breakers face three major challenges: detecting arc faults reliably, reducing false trips ...

Researchers from the Zhengzhou University in China have created a new electrical fault detection system for PV systems by using the Adaptive Neuro-Fuzzy Inference System (ANFIS) methodology, which is ...

The comparison figure between no arc-fault state and arc-fault state under various type of loads, ranging from 30 W–60 W. An arc fault is an electrical discharge between two conductors due to poor ...

A company that monitors electrical activity says faults along the Los Angeles power grid skyrocketed in the same areas where three of this week’s major wildfires are currently raging. Bob Marshall, ...