Field experience on hot sticks exposed to atmospheric pollution for variable winter periods at two distribution substations
Bibliographic record
Abstract
This paper deals with one particular aspect of hot sticks used by electrical utilities, exposure to long-term atmospheric pollution. In order to determine the effect of such exposure, high-voltage laboratory tests were performed to evaluate the maximum leakage-current on the hot stick surface. A test program was set up in which the hot sticks were exposed to atmospheric pollution at two Hydro-Quebec substations and tested at the IREQ HV laboratory. The tests included salt deposit density (SDD) measurements, leakage-current measurements during high-voltage tests, flashover tests, resistivity measurements of collected-water, etc. The results identified several parameters describing the relative pollution level at each substation. A specific high-voltage leakage-current test highlighted two interesting aspects: the maximum RMS alternating current, under a specific set of parameters (e.g. hot stick test length of 1 m, test voltage of 30 kV, salt fog resistivity of 30 /spl Omega/.M), combined with the deposit of natural atmospheric pollution on the hot-stick surface; the behavior of hot-stick fiberglass treated with silicone or wax, exposed to salt fog of a given water resistivity level.>
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".