Experimental Investigation on the Bubbling Inception Temperature in Kraft Paper Impregnated with Mineral Oil and Synthetic Ester
Bibliographic record
Abstract
This paper aims to comprehensively investigate the Bubbling Inception Temperature (BIT) of two insulating fluids. The reason why the BIT is important is that it is a critical parameter to estimate the bubble formation within power transformers during overload conditions. Indeed, with the ever-increasing demand of electricity, transformer overload could be a source of bubble unfolding. The study specifically focuses on Kraft paper impregnated with a mineral oil and a synthetic ester. A specially-designed experimental setup that helps controlling key parameters such as temperature and moisture content, is employed to investigate the BIT. The investigations reveal that the BIT of synthetic ester-impregnated paper is higher than that of mineral oil-impregnated paper. The present study provides valuable insights to prevent bubble formation and enhance the overall reliability of power transformers.
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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 | 0.000 | 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) | 0.000 | 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".