An Open Conductor Condition Monitoring Scheme Using Natural Voltage and Current Disturbances
Why this work is in the frame
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Bibliographic record
Abstract
Undetected open conductor condition is a threat to the safe operation of power plants and industrial facilities. Open conductor condition is especially difficult to detect in a system with certain Y <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">g</sub> connected primary windings, unloaded transformers. This paper presents a novel open conductor condition monitoring scheme for such systems. The scheme utilizes natural voltage disturbances as test signals and detects the open conductor condition by analyzing the responses of the transformer neutral current to these signals. A detection criterion is established based on sequence domain circuit analysis and on considering background voltage unbalances. Implementation issues, including the hardware requirements and the overall monitoring algorithm, are discussed. Simulation and experimental results prove that the proposed scheme can monitor the open conductor condition effectively.
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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 | 0.001 |
| 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