A Novel Probabilistic Safety Risk Assessment Approach Near Transmission Line Structures Under Fault Conditions
Bibliographic record
Abstract
The increasing proximity of transmission lines to urban areas has raised safety concerns due to potential touch and step voltage hazards during transmission line faults. Lacking of a comprehensive safety standard in many regions makes the situation worse. Although both deterministic and probabilistic risk assessment approaches have been attempted for this issue, the probabilistic risk assessment approach has attracted more attention, as it allows electric utilities with a limited operational budget to quantify and prioritize risk locations by mitigating the public risk for a location with the highest probability first through a risk score. However, the parameters of the probabilistic risk assessment approach are currently based on assumptions, which significantly reduces the risk assessment accuracy. In this paper, new effective methods are proposed to accurately determine these parameters, including the probability of faults, the probability of human presence, and the probability of ventricular fibrillation. This paper offers an accurate probabilistic risk assessment tool for electric utilities and regulatory bodies to proactively assess and mitigate safety risks near transmission line structures and ensure the public's safety in an increasingly urbanized landscape.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 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".