Harmonic modal analysis of hydroelectric runner in steady-state conditions: a Bayesian approach
Why this work is in the frame
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Bibliographic record
Abstract
The characterization of hydroelectric turbine runners' dynamic behaviour is essential for accurate stress and fatigue life prediction leading to design and maintenance adapted to the fluctuating power demand. As the modal parameters of runners depend on the operating regime and coupling effects, a representative estimation of these parameters relies on the analysis of in-operation data. However, harmonics contained in Francis runners strain response complexify the use of traditional operational modal analysis methods. This paper proposes a steady-state harmonic modal analysis method using Non-Trivial Rotor-Casing Interactions (NTRCI). The Bayesian method used to identify the parameters is first presented. Then the method is evaluated on a ground truth system obtained with an analytically generated strain response and then deployed on operating runner strain gauge measurements. The paper concludes with a discussion and future works related to the exhaustivity of the proposed model and additional signal processing needs.
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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 | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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