Fast Single-Turn Sensitive Stator Inter-Turn Fault Detection of Induction Machines Based on Positive and Negative Sequence Third Harmonic Components of Line Currents
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Bibliographic record
Abstract
Unambiguous detection of stator inter-turn faults for induction machines at their incipient stage, i.e., few turns' fault, has recently received great attention. Traditionally, inter- turn faults are detected using negative sequence current and impedance. However, their effectiveness under supply unbalance conditions is questionable. Recently line current third harmonic (+3f) has also been used in an attempt to achieve this goal. But, issues such as inherent structural asymmetry and voltage unbalance also influence the +3f. In this paper, positive and negative sequence third harmonics (plusmn3f) of line current under different operating conditions have been explored by combining space and time harmonics. The suggested fault signature was obtained by removing residual components from tested quantities. Simulation and experimental results using one second of data indicate proposed plusmn3f signatures are capable of very effectively detecting even single turn fault and distinguish it from voltage unbalance and structural asymmetry.
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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