Impact of local overheating and electrical discharge on the streaming electrification of transformer oil
Bibliographic record
Abstract
There is a general agreement that in service conditions the quality of mineral insulating oils gradually deteriorates under the impact of electrical, thermal and chemical stresses. It is also well established that incipient electrical failures such as hot spots and partial discharges are responsible for the deterioration and gassing of oil. This article intends to show how the chemical composition of hydrocarbon blend and the oil born decay products are also contributing factors to the streaming electrification of the oil. The effects of different stresses on the streaming electrification of transformer oil have been investigated using some key testing methods. In this regard, various scenarios were considered. The study was carried on mineral oil samples submitted to electrical discharge according to ASTM D6180 or local overheating and a combination of both stresses. This paper provides experimental evidence that the formation in service conditions of undetected oil-born decay products is a contributing factor to the electrostatic charging tendency of oil.
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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".