Damped high passive filter — a new filtering scheme for multipulse rectifier systems
Bibliographic record
Abstract
Multipulse rectifier systems are commonly used to reduce harmonic emission. However, they still require the installation of non-characteristic harmonic filters to prevent harmful resonance between its high-pass filter and the system impedance. The advantage of a multipulse configuration - very low non-characteristic harmonic emission - is, therefore, not fully utilized. In view of this shortcoming, a novel filter called damped high-pass (DHP) filter is proposed. The filter does not cause resonance at the non-characteristic harmonic frequencies. As a result, traditional non-characteristic 5th and 7th harmonic filters are no longer needed, resulting in significant cost and space savings for the multipulse systems. The core idea behind this filter is a frequency-dependent resistor block that provides high damping at the non-characteristic harmonic frequencies. Design procedure for the proposed filter is presented. Performance and usefulness of the new filtering scheme has been demonstrated through comparative studies on two actual industry cases.
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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 | 0.001 |
| 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 | 0.001 | 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".