Analysis, modeling and simulation of static eccentric reluctance synchronous motor
Bibliographic record
Abstract
In recent times Reluctance Synchronous Motors (RSM) have gained popularity in variable speed market due to their advantages like low cost, rugged construction, minimum winding losses, and zero speed regulation. Usually in RSM the direct axis air gap is kept low to achieve improved performance. Therefore, eccentricity fault detection in RSM becomes vital. Static eccentricity, one of the two types of eccentricity, is present even in a newly manufactured motor. So far not much work has been reported in literature with respect to modeling a salient pole machine under static eccentric condition. In this paper a Modified Winding Function Approach (MWFA) based model is developed and a characteristic frequency corresponding to static eccentric condition is identified. Finally a non-invasive method based on Motor Current Signature Analysis (MCSA) and residue elimination technique is used to detect static eccentricity in a salient pole RSM in an unambiguous manner.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".