An Accurate Inductance Profile Measurement Technique for Switched Reluctance Machines
Why this work is in the frame
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Bibliographic record
Abstract
Accurate modeling of switched reluctance machines (SRMs) is necessary in order to achieve satisfactory control performance. Due to their highly nonlinear characteristics, the exact inductance profile for SRMs in one electrical period ought to be obtained. The purpose of this paper is to propose an accurate method to model the SRM magnetization characteristic, representing the accurate inductance profile, in order to achieve higher control performance. Furthermore, the innovative method proposed in this paper addresses a diverse way to minimize overall losses, compared to conventional methods. Instead of using a specific apparatus for measurement, the proposed method directly uses the saturation feature of the phase inductance. This paper discusses the advantages and improvements of the proposed method compared to conventional methods. Finally, the results computed by finite-element analysis are compared with the experimental results in terms of SRM magnetization characteristics.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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