Early Crack Localization in Flexible Structures Subjected to Unknown Disturbances Using Sensor-Measurements Only
Bibliographic record
Abstract
This paper uses output-only measurements to localize faults within flexible structures. These measurements are used to construct transmissibility operators, which are mathematical models that are independent of the excitation acting on the structure. Faults considered in this paper are formulated as unknown disturbances acting on the underlying structure. The proposed approach is illustrated on a class of flexible cantilever beams, which can be modeled as a connection of finite lumped segments. The output (e.g. deflection of the beam) at one location on the beam can be predicted using a transmissibility operator and the output at a different location on the beam. The discrepancy between the measured and predicted outputs at a specific location on the beam can be used as a fault indicator. If this discrepancy is small, the beam is considered healthy. Any deviation from the healthy conditions of the beam will cause an increase in the transmissibility discrepancy, which indicates a fault. This allows early fault and crack detection even if the fault is not clearly visible to the human eye. The proposed approach can be used online during system operation and is illustrated using a numerical example.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".