A comparative study of various methods of IM's rotor resistance estimation
Why this work is in the frame
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Bibliographic record
Abstract
Various MRAS-based estimation schemes of IM's rotor resistance has been proposed. Three simple rotor resistance identification methods of an induction motor drive are presented and compared. Two of the three techniques namely, electromagnetic torque equation, and reactive power equations are based on the generalization of existing methods. Authors proposed the third method, namely, active power equation which is an improvement over the existing schemes. Although all three schemes estimate the rotor resistance effectively, the proposed technique is superior to others in providing faster estimation approach. The proposed method will be analyzed along with other previously proposed MRAS based methods, and the advantage and limitations of each will be discovered. Simulation and experimental results confirmed that the rotor resistance estimation by active power equation is much faster than the other mentioned methods.
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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 | 0.000 | 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 it