A Simulation Study on Using Inverse Transient Analysis for Leak Detection in Water Distribution Networks
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Bibliographic record
Abstract
Inverse transient analysis, developed by several researchers in recent years as a promising and low-cost leak detection technique, has been successfully demonstrated under laboratory settings. However, the feasibility and technical limitations of this technique under actual field conditions has yet to be definitely established. This chapter reports on the initial simulation phase of a study that aims to assess the applicability and effectiveness of inverse transient analysis in the detection of leaks in real water distribution systems. Simulation was conducted and field tests are planned for a selected area of the City of Regina's municipal water distribution network. Scenarios of various transient severity and leak sizes were simulated. Insight gained from the simulation provided a preliminary assessment of the effectiveness and feasibility of using the inverse transient analysis method for leak detection.
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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