Performance assessment of 18-pulse 3-phase rectifiers using harmonic reducing auto-transformers
Bibliographic record
Abstract
The operation of parallel-connected 18-pulse 3-phase rectifiers are described that use non-isolating multi-winding input auto-transformers. Configurations are examined that use both ac and dc inter-phase blocking reactors for limiting the circulating currents between the parallel diode rectifiers. The work presented in this paper represents ongoing research to accurately simulate the operation of multi-pulse rectifiers. Numerous performance curves are presented, obtained using SPICE simulations, that monitor the harmonic cancelling and current sharing features of the various rectifier configurations against the per-unit size of the magnetic components used. The effect on the rectifier performance due to imbalances associated with the transformer output voltages and 3-phase inductances are highlighted. The per-unit current imbalances between the parallel connected rectifier bridges are linked to the degree of voltage and inductance imbalances present
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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) | 0.001 | 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".