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

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 ...

Once IC fabrication is complete, engineers use fault models to create test patterns that detect defects. These fault models are typically abstractions of defect behavior based on our experience and ...

ATPG targets faults at IC-gate boundaries, but 50% of defects are located within cells. Learn how cell-aware ATPG and user-defined fault models help to ferret out these hard-to-squash bugs.