On-site diagnostics of medium-voltage underground cross-linked polyethylene cables
Bibliographic record
Abstract
The polarization-depolarization current measurements were performed on miniature cables (aged in the laboratory), field-aged cables (removed from service and measured in the laboratory), and cables still installed in the local utility power distribution network. The measurements performed on miniature cables revealed significant changes in the area Qpunder the HF components of the polarization current with aging time. The percentage increase of Qpcould be related to the degree of insulation degradation due to water treeing. The low-frequency component of the depolarization current for field-aged cables was sensitive to polarization time but only when the measurements were performed shortly after switching off of the ac voltage. Virgin and relatively new cables did not show this effect. Cables of similar age and construction but installed in different environments (e.g., in conduits vs. bare ground) gave distinctly different depolarization current waveforms, which indicates that the technique can distinguish the more deteriorated from the less deteriorated cables. An extra year of service caused noticeable changes in the insulation depolarization current characteristics for some cables and almost no change in others. A large change in depolarization current could indicate advancing deterioration of the insulation and increasing probability of failure.
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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) | 0.001 | 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".