UHF Detection of the Eroding DC Dry-Band Arcing on Silicone Rubber Insulation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article proposes ultra-high frequency (UHF) detection of the eroding dry-band arcing as a non-intrusive and online detection technique of erosion failure during the dc inclined plane test (IPT). Tests are performed on silicone rubber (SR) composites, while conducting leakage current (LC), surface temperature, and UHF measurements using a horn antenna. No UHF detection is evident during mild dry-band arcing (DBA), which does not lead to erosion. Whereas, the detection is evident during stable DBA, particularly when the intensity becomes remarkable. Thermogravimetry, differential thermal analysis, and Fourier Transform spectroscopy are conducted to elucidate temperature measurements and visual observations. The eroding DBA is shown to lead to depolymerization of SR at <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$400~^{\circ }$ </tex-math></inline-formula> C, thereby leading to combustion and erosion failure, and stimulating a radical-based crosslinking reaction at temperatures exceeding <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$500~^{\circ }$ </tex-math></inline-formula> C. The intensity of the UHF detection is also shown to be sensitive to the severity of the eroding DBA as it increases with time during the test or with higher applied test voltages.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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