Prediction of remaining life of the paper insulation by the analysis of new oil-soluble compounds in power transformers
Bibliographic record
Abstract
The evaluation of the state of the paper insulation of a power transformer can be assessed by the analysis of specific degradation by-products of paper such as CO, CO/sub 2/ and furanic compounds. However it is still difficult to differentiate an incipient fault from the normal aging of an equipment. There is a need to develop more precise diagnostic tools. An experimental accelerated aging test conducted on kraft paper and oil samples at 150/spl deg/C, allowed us to observe the production of new oil-soluble species. New compounds analogous to furanic derivatives were detected by high performance liquid chromatography. Specific sugars such as rhamnose and mannose were also detected by high performance ionic chromatography. The evolution of some of these species are correlated with the aging of the paper (decrease of the paper polymerization degree). Their presence in samples obtained from the field leads us to believe that selected molecules could play an important role in the prediction of remaining life of power transformers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 source (direct Gemma or distilled Codex), 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".