Bibliographic record
Abstract
A model for calculating and describing the signal amplitudes for acoustic emission stress waves is presented.The model is based on Kosevich theory for moving dislocations and takes into account the transfer function of the measurement system.see figure.The aim of this work is to work out a complete model which gives a possibility to correlate the amplitude of the measured electrical voltage to the physical cvent within the material.50 for however, the proposed model don't takes into consideration the influence of the material damping on the signal amplitude.This might be the next step to improve the model;The usual used measurement techniques, ring-down connting and di stribution analysis.don't give any direct correlation between the absolute magnitude of the acoustic emission event and the recorded parameters.1 Ilvf/LOdLlCtUJ Vl There exist several, both simple and extensive models for describing the AE-mechanism.To-day one cannot say that one model is better than the other.This paper presents a model based upon a dynamical dislocation theory stated by Kosevich [IL This model shows how the physical process can be related to the AE signal.Most of this is, however, pure mathematics, which is presented in [II].The last part of the work is not yet published, but will be in the near future. sum Field Mound a Tbnz vMying Inelastic swanAcoustic emission usually occurs due to a sudden change in the internal 4.2.1
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".