Characteristic Parameter-Based Detuned C-Type Filter Design
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Bibliographic record
Abstract
The C-type filter has been widely used in industry to avoid the harmonic resonance caused by the shunt capacitors. This paper provides a deep and unique insight into the C-type filter design. It will be shown that the C-type filter can be simply characterized by two parameters–the tuning frequency and the R-ratio. The tuning frequency is predetermined based on the system need, thus the entire design process comes down to determine the R-ratio. The correlation between the R-ratio with the filter’s cost and performance is then developed and an optimum value of the R-ratio is solved. Compared with the conventional design methods, the proposed method with one underdetermined variable is simpler and more straightforward. Comparative studies on actual capacitor application cases are conducted to demonstrate the usefulness of the proposed design method.
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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) | 0.000 | 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 it