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 ...

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

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

PrismaPower uses the preexisting optical fiber network deployed as part of IEC's transmission grid. The system identifies safety events such as inflicted damage and climbing on power towers, detecting ...

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

The LTC6801 is a high-voltage battery-stack fault-monitor that operates without a microprocessor and without the need for optocouplers or isolators. Each monitor device monitors up to 12 ...

Sensing technologies exist to monitor the most critical assets and processes in an electric power system, whose fault could cause extensive and expensive outages for the utility and strain the system ...