A New Passive Valley Fill Dimming Electronic Ballast with Extended Line Current Conduction Angle
Bibliographic record
Abstract
In this paper, a new modified valley fill circuit is proposed to combine with a half-bridge current source resonant inverter as the power circuit for a high power factor valley fill electronic ballast. The proposed circuit is capable to lower the discharge voltage of the valley fill capacitance by inserting another branch of valley fill capacitor in the original circuit. When the capacitors are connected in parallel, the voltage discharged across the capacitors is only one-third of the peak line voltage, which allows the conduction angle of the line current to be further extended so that a lower total harmonic distortion level can be achieved. Another advantage is that the smaller capacitance greatly reduces the current spike demanded at the peak line voltage when compared to the one seen in the conventional valley fill ballasts. The high crest factor problem is also eliminated in the proposed circuit as continuous variable frequency control is employed to continuously regulate the lamp current to stay within a steady envelope. Detailed explanations on the operating principles of the proposed circuit are provided in this paper. Simulation and experimental results are provided to validate with all the theoretical analysis for a 20 W compact fluorescent lamp
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".