Commutation failure recognition in HVDC systems using wavelet and shannon entropy
Why this work is in the frame
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Bibliographic record
Abstract
Commutation failure (CF) is a serious malfunction in HVDC systems. Fast detection and identification is important to avoid HVDC system block or even further deterioration of the whole system. This paper proposes a novel approach of CF recognition using wavelet transform and Shannon entropy technique. Only phase A voltage signal at inverter is used as the input of the new method. AC voltage is decomposed by discrete wavelet transform to get details and approximations on all scales. High frequency details are used to locate the fault time. A fault entropy feature matrix T is formed for fault classification. CF can be identified by comparing the Euclidean distances of its feature vector to those of the known fault types in matrix T. The proposed approach is verified by fault signals simulated in a complete 12-pulse HVDC transmission system in Matlab/Simulink. The results have approved its feasibility and preciseness.
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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 | 0.001 | 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