Исследование надёжности электроснабжения морской портовой инфраструктуры в Приполярном районе
Bibliographic record
Abstract
In polar and subpolar regions high probability destructive manifestations of geomagnetic induced currents (GIC), which may lead to the collapse of the energy system, as it was in Canada in 1989. Therefore, there is need to monitor and GIC adoption of measures to reduce its impact on the reliability of the operation of power systems. For monitoring GIC authors use variations in voltage harmonics compared with the indices of the magnetic field of the Earth. For example, Petropavlovsk-Kamchatsky seaport, the results of observations, in which registered an increase in the level of voltage harmonics as a result of the magnetic storm. The concomitant factor of manifestation GIC is to saturate network nonlinear consumers and, consequently, the growth of the higher harmonics. In this situation, the most vulnerable to geomagnetic induced currents element is a transformer. In this connection, presents an assessment of reliability of the power transformer, as part of the energy system, tending to saturation nonlinear consumers against the background of the destructive manifestations of geomagnetic induced currents. Considering proposals are able to neutralize the destructive manifestation of geomagnetic induced currents in electrical systems.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".