Assessment of Potential Harmonic Problems for Systems with Distributed or Random Harmonic Sources
Why this work is in the frame
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Bibliographic record
Abstract
Harmonic problems in a system with distributed or random harmonic sources are most likely caused by the resonance phenomena. The evaluation of such problem is difficult as harmonic study needs to be carried out for all the buses in the system. Traditional frequency scan approach becomes complicated and inefficient. Resonance mode analysis approach associates a complex harmonic problem caused by resonance phenomena with a simple critical mode. Critical vectors of the mode define the obeservability and excitability of each bus to the resonance. Sensitivity information evaluates the involvement of network components to a resonance state. It is useful in helping understand the nature of a harmonic problem and locate effective harmonic mitigation means. Case study results confirmed that the proposed approach is an effective tool for harmonic evaluation of systems with distributed or random harmonic sources.
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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 | 0.001 | 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