Inception and Breakdown Voltages of New Low Pour Point Liquids Under Lightning Impulse
Bibliographic record
Abstract
It is important to investigate the pre-breakdown and breakdown behavior of the alternative liquids for effective estimation of the safety margin and other dielectric design aspects of the new insulation systems. In liquid-filled equipment, the focus has been mineral insulating liquids for more than a century. However, the recent research contributes largely to a comparative analysis of the prebreakdown behavior of ester dielectric liquids to mineral oils. It is widely reported that the dielectric performance of mineral oil under lightning impulse as well as AC and DC voltages is better than in ester dielectric liquids. This observation stands valid for tests reported with different electrode configurations in the literature. Furthermore, applying esters for transformers in cold countries has always been a challenge to the transformer owners. Thus, there is a wide scope for research to investigate the behavior of esters as an insulating medium for transformers serving in cold regions. This paper reports the results of a study of the dielectric performance of a new low-pour point synthetic ester and a low-pour point mineral oil under lighting impulse using point-plane electrode configuration. The results of the streamer inception voltage and lightning impulse breakdown voltage for aged and non-aged liquids are presented. The obtained results show that the inception and breakdown voltages of non-aged low pour point synthetic ester are almost similar to mineral oils. However, the inception and breakdown voltages of the investigated aged low pour point synthetic ester are higher than that of the aged mineral oil.
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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".