Fault Location Method Based on Single-End Measurements for Underground Cables
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Bibliographic record
Abstract
The fault location in underground cables is characterized as the technical difficulties due to complexities in cables. Based on the direct circuit analysis, a fault location algorithm for underground cables with no laterals is presented in this paper. The single-end phasor measurements, including the voltages and currents sampled in the substation side, are utilized to locate the single phase faults in the typical single-conductor cross-linked polyethylene (XLPE) cables rated at the medium voltage (MV) levels. The distinctive cable characteristics are considered, such as relatively large capacitance, effects of sheaths and sheath bonding methods. The different fault scenarios are taken into account as well. The effect of changes of cable parameters and application of static response load model are also investigated. The simulation studies demonstrate the proposed algorithm can achieve the high accuracy under various system and fault conditions.
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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) | 0.001 | 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