Power supply current test approach for resistive fault screening in embedded analog circuits
Bibliographic record
Abstract
The feasibility of a non-specification based method for testing of analog integrated circuits in a 0.13 /spl mu/m CMOS process has been explored. The method is an extension of digital I/sub DD/ test to analog circuits. We investigated detection rate of resistive open and short faults within a MOSFET device in several analog circuits implemented in 0.13 /spl mu/m CMOS technology. Input test signals are optimized for maximum detectability of introduced faults. Stimuli required for defect screening are DC signals which can be easily produced on-chip. It is shown in this paper that with respect to the used fault models, the detection success rate for introduced faults is 100% for resistive shorts and 67% for resistive opens. This simple method is suitable for production testing, as a preliminary and complementary test of embedded analog circuits for early defect screening in highly integrated environment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".