How long should power system disturbance site monitoring be in order to be significant?
Bibliographic record
Abstract
The author presents the results of a statistical study on power supply disturbances monitored at a computer center over a period of two years. The results of the statistical study are discussed in detail, revealing the statistical patterns of occurrence of power supply disturbances at the site and the problematic nature of defining the duration of site monitoring. The primary objectives of the present work were: (1) to attempt to determine how long site monitoring of power system disturbances should last in order to be significant; and (2) to reveal the importance of having a sound knowledge of the possible patterns of occurrence of power supply disturbances at a selected site prior to initiating the monitoring process. It appears from the statistical analysis of the power-supply disturbances that the two-week monitoring period suggested in the IEEE Orange Book, IEEE Std. 446-1987, will provide an adequate sample provided the monitoring begins with an adequate knowledge of the site's electrical and system performance characteristics and is immediately initiated after the occurrence of two or more site disturbances.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".