Low-voltage failures in multilayer ceramic capacitors: a new accelerated stress screen
Bibliographic record
Abstract
A method of screening out all potential low-voltage failures in manufactured lots of multilayer ceramic capacitors (MLCC) is presented. The method eliminates all the potential failures in capacitor lots. This test uses the technique of highly accelerated life-testing (HALT) previously developed by the authors (ibid., vol.37, p.129-34, 1987). In this technique, 50-V rated capacitors are subjected to accelerated testing at 140 degrees C and 400 V DC, instead of the standard 125 degrees C and 100 V DC environment. The approach is based on the concept that low-voltage failures are caused by extrinsic defects in MLCCs and that these defects can be eliminated in a very short using high voltage and temperature acceleration. It is shown that the HALT test can eliminate the 85/85 test, since a single short HALT test can completely characterize the quality and reliability of ceramic capacitors, both for rated voltage and low-voltage applications.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".