Define or learn the baseline
Use expected-signal limits or let the monitor learn a stable baseline before it starts judging excursions.
YProbe monitor mode watches a rail or signal over time, records one timestamped event per excursion and carries the representative trace into the same diagnostic record as your deliberate bench measurements.
A single capture can prove that a fault exists now. It cannot prove that a rail was healthy during the five minutes before the reset. Intermittent diagnosis needs time, stable contact and a record that distinguishes one long excursion from hundreds of identical frames.
Use expected-signal limits or let the monitor learn a stable baseline before it starts judging excursions.
Droop, overshoot, dropout and glitch conditions are evaluated on fresh captures while the instrument remains free-running.
One event records onset, worst value and recovery instead of creating a new row for every capture during the same failure.
The event summary and representative trace join the session evidence so later hypotheses can explain what happened over time.
A driven rail falls below its expected level under load, during radio activity or when another subsystem wakes.
A supply collapses for milliseconds or seconds, then returns before a manual capture can be armed.
A narrow excursion or missing cycles appear rarely enough that a normal single frame has little chance of containing them.
Mean level or ripple changes gradually as the board warms, a load pattern changes or a marginal component degrades.
A loose or lifted probe can look exactly like an intermittent board failure. YProbe classifies individual captures and uses cross-capture agreement before accepting a contact state. At the blocking confidence threshold, floating or intermittent contact cannot produce a PASS/FAIL, enter the session record or reach the AI as board evidence.
The classifier also avoids a common mistake: a noisy driven rail is not automatically a floating probe. Cross-capture mean wander is the decisive signal, and a floating input must remain physically plausible near ground rather than being inferred from noise alone.