APPLICATION OF POLYNOMIAL FITTING TECHNIQUES TO THE CURVE m 10-Z L OF THE CURRENT TRANSFORMER
Why this work is in the frame
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Bibliographic record
Abstract
Conventional ferromagnetic core current transformer (CT) is widely used to measure large alternating currents with lower rated instrumentations or ammeters. The improper choice of the load of secondary instrumentations (symbol in Z L , e.g., relay protection apparatus) will negatively influence the measurement accuracy. Testing Z L and multiple of current in the case of 10% error of current m 10 , and thus plotting the relationship between Z L and m 10 , is helpful to give valuable instructions for properly choosing the secondary instrumentations. The principle of calculating values of Z L and m 10, methods of operation of acquired data to determine key parameters, and technique to fit the curve m 10 -Z L resorting to least square estimator are presented. Hence the curve m 10 -Z L can be successfully plotted based on polynomial coefficients of fitting curve. Experimental results verify the validity of the proposed method, which removes most of the noise of the data, smoothes the curve, and hence increases the measurement accuracy.
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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 | 0.001 | 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 it