Dispersion-based imaging for structural health monitoring using sparse and compact arrays
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Bibliographic record
Abstract
In this paper, a technique called 'excitelet' is presented for the imaging of damage in structures using the correlation of the signals measured at elements of piezoceramic arrays with dispersed versions of the excitation signal. This approach is presented as an extension of classical imaging techniques and takes advantage of the chirplet-based matching pursuit algorithm. The applicability for sparse and compact arrays is investigated experimentally on an aluminum plate and comparison with the existing embedded ultrasonic structural radar (EUSR) algorithm is performed for A0 and S0 modes for three frequency ranges of interest. Significant improvement of imaging quality is demonstrated with respect to imaging techniques using time-of-flight (ToF) and group velocity considerations for both sparse and compact piezoceramic array arrangements.
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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