A New Reliability Strategy for Managing Assets of Customer Delivery Systems
Why this work is in the frame
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Bibliographic record
Abstract
This paper describes a new reliability strategy to drive effectively new investment decisions for the purpose of improving the overall performances of customer delivery systems (CDS's) of a transmission utility company. The strategy is simple to implement and utilizes past outage histories of system equipment and some probabilistic models and methods to rank, evaluate and improve the reliability of various CDS's. The proposed reliability strategy will enable beforehand transmission companies initially to rank CDS's based on their transmission circuit performances or station equipment performances or both. The CDS's with the worst performances will be further analyzed to evaluate the reliability of their delivery points. Finally, various investment solutions for improving the reliability of worst performing CDS's will be assessed. The new strategy will eliminate the subjective decisions and will justify actions or inactions to take. Examples of Hydro One's CDS's are used to illustrate the new reliability strategy.
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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