Phase and Amplitude Error Indices (PAEI) to Assess the Success of Displacement Based Real-Time Testing
Why this work is in the frame
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Bibliographic record
Abstract
Real-time Pseudodynamic (PSD) and hybrid PSD testing methods are essential tools in understanding the dynamic behaviour of load-rate sensitive structures. In these testing methods, the response of the structure is obtained by combining computer simulation with physical testing. Since the measured signals are used in the command generation, these methods are prone to propagation of error; which, if not handled properly, may render the test results inaccurate and sometimes unstable. For that reason, there is a pressing need to develop measures by which the degree of accuracy of the real-time test results is to be assessed. The scope of this paper is to present a general, simple and invariant method for deriving improved error indices which are able to estimate the amount of phase and amplitude errors independently and through closed-form equations. These indices are also compared to previous error indicators to investigate their capability of assessing the success of real-time PSD tests.
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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