This white paper describes the functionality of user defined fault models (UDFM), including gate exhaustive UDFM and cell-aware UDFM, and the effectiveness of lowering DPM in devices. To achieve today ...

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 ...

Fault simulation, one of the oldest tools in the EDA industry toolbox, is receiving a serious facelift after it almost faded from existence. In the early days, fault simulation was used to grade the ...

Fault Tree Analysis (FTA) forms the cornerstone of systematic investigations into potential failures within complex engineering systems. By utilising logical diagrams comprised of gates such as 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.