Wavelet Packet Transform Based Protection of Disturbances in Three-Phase Interior Permanent Magnet Motor Fed from Sinusoidal PWM Voltage Source Inverter
Bibliographic record
Abstract
In this work, a novel wavelet packet transform (WPT) based algorithm is developed for the on-line protection of a three-phase interior permanent magnet (IPM) motor fed from a sinusoidal pulse width modulated voltage source inverter (PWM-VSI). The proposed algorithm is implemented and tested on-line using the ds1102 digital signal processor board for diagnosing and detecting different disturbances occurring in the stator terminals of the motor. The criterion for the WPT-based protection is the comparison of the second level high frequency details (dd2) of different faulted currents using the selected mother wavelet 'db3' with a threshold determined experimentally during the healthy operating condition of the motor. An experimental setup for the disturbance detection incorporating also the protection circuit is developed in order to accommodate the on-line testings on a laboratory 1-hp IPM motor. In all the tests carried out, the proposed algorithm identified every disturbance promptly and properly, and initiated a trip signal almost at the instant or within one cycle of the fault occurrence based on the 60 Hz systems
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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) | 0.000 | 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 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".