Correlation between the Optical Properties and the Degree of Polymerisation of Transformer Insulation Paper
Bibliographic record
Abstract
Transformer’s insulation system consists of oilpaper insulation, which is the most critical component that largely influences its service life. In service, the degradation of the transformer oil-paper insulation is inevitable, even under normal conditions. The degree of polymerization (DP) is a widely accepted and direct technique to assess the deterioration of the paper insulation. However, once a transformer is commissioned and energized, the direct assessment of the condition of the paper insulation is not possible. While insulating oil can be sampled for analyses when needed, this is hardly the case for the solid insulation system (paper). It is therefore, a usual practice to monitor the solid insulation system indirectly. Another incentive is that the life expectancy of a transformer is directly related to the aging condition of its paper insulation. Therefore, the direct degradation monitoring of solid insulation is an interesting approach. In this contribution, an optical aging marker is investigated to monitor the degradation of the paper insulation in oil-filled transformers. The reflectance of the aged papers has been monitored, and the relationship with DP is investigated at three different commercial wavelengths. It is noticed that a correlation between the reflectance spectrum and DP-values may be used to monitor the aging conditions of the paper.
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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".