INVESTIGATION OF THE ARC ACTIVITY ON HIGH-VOLTAGE POLYMERIC INSULATORS
Bibliographic record
Abstract
This paper presents the investigation of dry band and arc activity on silicon rubber insulator based on leakage current characteristics due to pollution under different climatic conditions. In this paper, laboratory-based pollution performance tests were conducted on 11 kV silicon rubber polymeric insulator by applying sodium chloride as pollutant with different pollution levels under AC voltage. Leakage current waveforms during the experimental studies were measured. Normally FFT spectrum estimation method is used to find the harmonic spectrum in the leakage currents. But this method suffers from the major problem of resolution. So in this paper a higher order spectrum estimation method (Min-Norm) was used to study the frequency domain characteristics of the leakage current signal. The results of the Min-Norm harmonic spectrum shows that it has a better resolution than FFT spectrum, and reported results of this initial study on 11 kV silicon rubber insulator shows that formation of dry band and arc due to conducting pollution layer could be easily identified from the analysis of harmonic components magnitude of leakage current signal.
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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".