Weibull Statistic in Hydrolytic Aging of Polyesterimide Used in Rotating Electrical Machine Windings
Bibliographic record
Abstract
This study treats the effect of hydrolytic aging on breakdown voltage of polyesterimide employed in rotating electrical machine windings.The aging was carried out at 93% relative humidity and 40℃ in a climatic chamber.The samples were made as twisted pair copper conductors covered by a thin layer (35 µm) of polyesterimide.The duration of aging is 12000 h (500 days).The values of breakdown voltage were analyzed statistically using Weibull model.The insulation was characterised by FTIR.The study shows modifications of breakdown voltage versus aging time.The decrease is attributed to the increase in free volume leading to the raise in mean free path of charge carriers.While the raise is awarded to the arrangement of the structure.The shape parameter of Weibull plots alters versus aging time.The shortening is attributed to the raise of defect sizes.Whereas the augmentation is allotted to the arrangement of molecular structure.During the tests of dielectric failure, space charge can be formed and affect breakdown voltage.The results of FTIR show the disappearance of several absorbance peaks highlighting the degradation of the material.The degradation is done by the decomposition of imide bond and ester bond at the polyesterimide-copper interface.
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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 | 0.002 | 0.007 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".