Dual DC current injection‐based stator winding temperature tracking for dual three‐phase permanent magnet synchronous machine using Kalman filter
Why this work is in the frame
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Bibliographic record
Abstract
To prevent motor failures caused by thermal overloading, accurate knowledge of stator winding temperature is of significance. The proposed stator winding temperature tracking is a stator resistance‐based estimation technique for dual three‐phase permanent magnet synchronous machines. In the proposed approach, a dual DC signal‐injection‐based method is developed to determine winding temperature accurately, which is capable of cancelling the voltage‐source inverter non‐linearity effect with no interference with torque output. Meanwhile, the proposed method is not affected by magnetic saturation because of no inductance terms involved. The Kalman filter is employed to improve the performance of winding temperature estimation. Moreover, the proposed approach is independent of operating conditions and can be implemented in a standard motor drive with a minimum computational cost. The experimental results validate the proposed approach on a laboratory dual three‐phase interior permanent magnet synchronous motor under various speeds and load conditions.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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