A neutral point clamped multilevel topology flow graph and space NPC multilevel topology
Bibliographic record
Abstract
Neutral-Point Clamped (NPC), such as diode-clamped, multilevel inverter technology has emerged recently as a very important alternative in the area of high-power medium-voltage energy control. However, the NPC Multilevel topology also has variable type of structure which cannot be found due to lack of systematic derivation methodology. A new system method, called NPC Flow Graph (NPC-FG), is proposed to derive all the possible topologies in this paper, which sets the basic criteria and special steps to construct topologies. Thirty-two NPC five-level topologies have been derived. Among them, a new family of Space NPC (S-NPC) multilevel topologies is also proposed by NPC-FG. Additional topologies can be derived based on different criteria to meet special requirement, such as Photovoltaic (PV) application. The proposed method can find all the existing multi-level NPC topologies, as well as new ones, with better performance.
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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) | 0.000 | 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".