Aging Mechanism of Composite Insulated Cross-Arm Under Multi-Factor Coupling Effect
Bibliographic record
Abstract
Composite insulated cross-arm (CICA) can be used in high voltage transmission lines to substitute composite insulators with iron cross-arms. In addition to its excellent insulation performance, CICA can also save on transmission corridors, etc. Nevertheless, due to the horizontal arrangement, CICA bears complex mechanical stresses in addition to the high temperature and humidity environmental factors. The aging mechanism under the multifactor coupling effect is studied in this paper based on a 110 kV CICA. The test results of the interface property show that the hygrothermal factor is the main reason for aging. In addition, stress affects the interface properties by promoting moisture penetration. The interfacial current changes can be divided into three stages: the voltage-current synchronous growth stage, the voltage-continuous current plunge stage, and the interfacial breakdown stage, during the multi-factor aging process. Besides, the CICA experiments show a synergistic effect between the hygrothermal and mechanical factors in the deterioration process of the silicone rubber and the core rod. Constant force and high and low circumferential cyclic forces mainly affect the mechanical properties. This work can be helpful for the application and promotion of CICA.
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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 | 0.000 |
| 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 | 0.001 |
| 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".