Improved dynamic model of DC arc discharge on ice-covered post insulator surfaces
Bibliographic record
Abstract
This paper presents a self-consistent dynamic two-arc model predicting the behavior of DC arcs on ice-covered station post insulators. This model makes it possible to determine the minimum flashover voltage (VMF) as well as some characteristics of the discharge, including temporal evolution of leakage current, arc characteristics and icing severity of the insulators. The model takes into account the variation of freezing water conductivity, insulator geometry, ice layer characteristics, applied voltage polarities and some fundamental concepts of air gap formation. The model was validated in laboratory using a typical 735-kV ice-covered station post insulator under DC voltage. The VMF was experimentally determined based on IEEE Std 1783. Moreover, the influence of the number and position of air gaps on the minimum flashover voltage was investigated experimentally and mathematically. There was a good concordance between the experimental results and those predicted by the model. This model is a good foundation for the development of multi-arc models and a powerful tool for the design and selection of DC EHV insulators subjected to ice accretion.
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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 | 0.001 | 0.001 |
| 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".