Detecting synchrophasors computed over fault/switching transients
Bibliographic record
Abstract
Faults and switching operations often cause step changes in voltage and current waveforms. A fault/switching transient synchrophasor is computed over a window of pre‐ and post‐fault/switching samples. Many synchrophasor applications are not designed to use these transient synchrophasors. So, there is a need to detect fault/switching transient synchrophasors. A robust algorithm is proposed to detect synchrophasors computed over switching/fault transients. The proposed algorithm runs in phasor measurement unit. The proposed algorithm performs satisfactorily in the presence of noises, harmonics, off nominal frequencies, decaying DC and missing/bad samples. The proposed algorithm can detect fault/switching transient synchrophasors caused by smaller or larger disturbances. The proposed algorithm is simple, non‐iterative and mainly needs additions. Possible applications of the proposed algorithm are also discussed.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".