Optimal sensor placement for hydraulic structures based on Moran′s index I
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Bibliographic record
Abstract
A spatial correlation-effective independence method, which uses Moran's index I to weigh the Fisher information matrix, is presented to solve information redundancy in application of the effective independence method to optimal sensor placement in hydraulic structures. This method can not merely judge the spatial correlation of mode shapes at candidate nodes, but obtain sensor placement schemes which maximize the contribution of each sensor to modal observability while taking the spatial correlation into account. It was applied to a guide wall and the obtained scheme was compared in detail with those by two existing methods. Results show that the new method can ensure reasonable spatial distribution and modal measurability and effectively avoid information redundancy in its application to optimal sensor placement in large hydraulic structures modeled with mesh refinement. Therefore, it is an ideal method for optimization of sensor placement.
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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 | 0.001 | 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