Plenary sessions overview: SiC power devices aspects for high power density and system approach for a successful market implementation
Bibliographic record
Abstract
In small to medium size surface combatants there is an increasing need for efficient energy usage, which depends upon power electronics operating in constrained spaces with sensitive equipment. The vision for next generation integrated power systems (NG-IPS) includes MVDC distribution with integrated power conversion, energy storage management and automated fault isolation and recovery. Power conversion and solid state protection technologies are the critical enablers to the accomplishment of the Navy's vision. Wide bandgap power semiconductors enable medium voltage power conversion and protection and simultaneously power dense, efficient and environmentally compatible power supplies. The need for MVDC power distribution is for reliable packaging of modules at high current levels in order meet the power processing demands. The need for ship service loads is a higher level of functionality within a module to reduce risks and costs of technology upgrades. The purpose of this paper is to focus in on three applications to shipboard NG-IPS and identify present and future packaging challenges: (1) low to medium horsepower drives for pumps and fans, (2) medium voltage power converters interfacing into a MVDC distribution system and (3) MVDC solid state protective devices (SSPDs).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.170 | 0.092 |
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".