Effect of high-frequency pulse ageing on dielectric response of paper/oil insulation
Bibliographic record
Abstract
The presence of high-frequency components has been drastically increasing in the power network due to increased use of power electronics and non-linear loads. Such pulsed or high-frequency voltages may affect the performance of insulation systems by increasing their ageing speed. To evaluate accelerated ageing of dielectric materials under high-frequency pulses with different characteristics, it is required to have comparisons between parameters that can indicate the degradation level of aged dielectric materials. This research adopts dielectric spectroscopy applied over a wide range of frequency and measurement voltage, for such comparisons. Paper/oil samples are tested at different time intervals of ageing, under both unipolar and bipolar voltage applications, and the dielectric parameters are compared. The results of this study can contribute in understanding the basics of dielectric responses of paper/oil insulation under high-frequency transient conditions.
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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".