Control superiority of DC in railway system: A facility to depict the on-board disinterring systems
Bibliographic record
Abstract
The liberalization of the railway marketplace and the goal of fostering the interoperability amongst Indian country makes the tracking of the high-satisfactory of the power (PQ) exchanged among trains and deliver machine even extra important. At the moment, definitions, strategies and strategies for DC railway structures are below development. In this context, the paper proposes a reference technology machine capable of reproduce the voltage and modern waveforms skilled at pantograph with the aid of using a DC 3 kV locomotive. The machine is capable of generate concurrently voltage and modern indicators up to ten kV height and 1.2 kA height respectively. The AC ripple which may be superimposed has a bandwidth of 30 kHz for the voltage and 600 Hz for the modern. Moreover, it could reproduce numerous PQ occasions each with an accuracy, within side the worst case of 1%.
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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 | 0.002 | 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 | 0.001 |
| 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".