Stator fault detection in induction machines using triplen harmonics at motor terminal voltage after switch-off
Why this work is in the frame
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Bibliographic record
Abstract
Almost 30-40% portion of all reported induction machine faults are stator faults related. In fact, going by the number of occurrences, the position of stator faults is only second to bearing related faults. Third harmonic line currents have been reported to increase under stator fault conditions. It has been shown in this paper that they are primarily due to the interaction of saturation caused permeance wave and reverse rotating field caused due to stator faults or voltage unbalance and machine structural imbalance (usually small). Thus, voltage unbalance cannot be distinguished from stator faults. The third and the other triplen related harmonics are however found to be a very decisive indicator of the fault, if measured in the machine terminal voltages just after switch-off. The fault detection technique is independent of machine parameters and supply unbalances. Simulation as well as experimental results are presented with very few shorted turns.
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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) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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