Emulation of an Induction Machine with Inclined Eccentricity fault
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Rising recognition of the financial risks posed by sudden failures in electric machines, particularly those operating under critical conditions, underscores the need for advanced fault diagnosis. Among the various mechanical faults, eccentricity faults, especially inclined or axially non-uniform static eccentricity, remain less explored in the literature despite their practical relevance. This paper develops a mathematical model based on the modified winding function method (MWFM) for a wound rotor induction motor to address this gap. Furthermore, it explores the application of power hardware-in-the-loop (PHIL) based emulation techniques to accelerate the testing of these eccentricity faults. Experimental data validate the mathematical model and underscore the efficacy of the PHIL-based machine emulator in emulating different degrees of eccentricity fault conditions. Additionally, the study contrasts the impacts of axially uniform and non-uniform static eccentricity, providing valuable insights into the detection of these faults.
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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