Application of dielectric response techniques for the condition assessment of power transformers
Why this work is in the frame
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Bibliographic record
Abstract
In recent years, new diagnosis and monitoring techniques using the dielectric response have been developed for insulation condition assessment. Their sensitivities to aging and their potential to predict residual live is still to demonstrate. To respond to these issues, we have started an investigation and looked at the potential of two electrical methods to be sensitive to aging and how their signatures can be related to the transformer age and condition. This study covers the evaluation of the dissipation factor (tan /spl delta/) versus frequency and the polarization-depolarization current (PDC) measurements for their sensitivity to aging of the insulation. This evaluation is performed using model transformers with various moisture content and aging degrees. Insulation has been assessed at every stage of aging with oil and paper analysis. The two dielectric methods have been measured at every stage of aging. The results and the correlation between the dielectric measurements and the paper and oil aging parameters as well as the insulation moisture content are discussed.
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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 it