Design of booster shed parameters for post insulators under heavy icing conditions using geometric modelling and the Taguchi method
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Bibliographic record
Abstract
A generic design approach is presented to optimise the parameters of booster sheds (BSs) installed on post station insulators in heavy icing conditions. This approach is based on geometric modelling and Taguchi method and it allows to improve the electrical performance of the insulators. It deals with geometrical parameters of BSs including their number, inclination angle and diameter. Numerical analyses using geometric modelling, MATLAB programming and Minitab software were carried out in this study. The presented approach seems to be a good alternative to experimental measurements which are costly and difficult to perform. This investigation shows that the optimised value of BS inclination angle is equal to the upper shed angle of the insulator. Moreover, it indicates that generally the maximum feasible values for the diameter and number of BSs are the best options.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it