Wavelet Packet Transform Based Protection of Three-Phase IPM Motor
Bibliographic record
Abstract
This paper presents a wavelet packet transform (WPT) based on-line technique for the protection of three-phase interior permanent magnet (IPM) motor. A wavelet packet transform based algorithm for the protection of an IPM motor is developed, implemented, and tested on-line using the DS1102 digital signal processor board. The proposed algorithm is based on the identification of the WPT coefficients of second level high frequency details (dd2) of three-phase line currents of different faulted and normal unfaulted conditions using the selected mother wavelet `db3'. The minimum description length (MDL) and the Shannon entropy criteria are used for selecting the optimal mother wavelet and the optimal number of levels of resolution, respectively. The single phasing fault, single line to ground (L-G) fault, and line-to-line (L-L) faults are investigated. An experimental setup for detecting the faults incorporating also the protection circuit is developed to accommodate the on-line testings of an IPM motor. In all the tests carried out, the faults are detected and the trip signal is initiated almost at the instant or within one cycle of the fault occurrence
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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 | 0.001 |
| 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) | 0.001 | 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".