Online Tracking of Voltage Flicker Utilizing Energy Operator and Hilbert Transform
Why this work is in the frame
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Bibliographic record
Abstract
The Teager energy operator (TEO) and the Hilbert transform (HT) are introduced in this paper as effective approaches for tracking the voltage flicker levels in distribution systems. The mathematical simplicity of the proposed techniques, compared with the commonly used algorithms in the literature, renders them competitive candidates for the online tracking of voltage flicker levels. Moreover, the TEO and the HT are capable of tracking the amplitude variations of the voltage flicker and supply frequency in industrial systems with only a 3% margin of error. Such accurate tracking facilitates the implementation of the control of flicker mitigation devices. A detailed comparison of the two proposed approaches that profile the different factors affecting tracking accuracy is presented. The results are provided to verify the tracking capabilities of both HT and TEO and to indicate the superior performance of the TEO and the HT in tracking voltage flicker.
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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