In-situ photoelastic monitoring of electrical treeing in polyethylene
Bibliographic record
Abstract
The authors investigate the influence of both passive internal strains in drawn PE (polyethylene) samples with semiconductive electrodes and active internal stresses around embedded steel electrodes on the electrical tree growth. Results of insitu photoelastic measurements showing the fringe pattern evolution accompanying tree propagation are also presented. It has been found that the internal stress model developed by J. V. Champion et al (1992) for embedded electrodes in an epoxy resin block can be successfully applied to polyethylene samples. Photoelastic measurement is an efficient and simple tool for experimental determination of such stresses. The electrical performance of polyethylene samples show complex variations in the presence of increasing internal strain. Orientation effects (passive internal stresses) and residual stresses (active internal stresses) might make different contributions, possibly in opposite directions. Nevertheless, it is believed that polyethylene specimens oriented perpendicularly to the make electric field have better resistance to electrical treeing than unoriented samples.>
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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 | 0.000 |
| 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) | 0.001 | 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".