Application of Acoustic Emission in Control of High-Pressure Pipe Overstraining
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The article describes the application of AE technique in control and evaluation of the pipe overstraining process. The trials of overstraining were conducted according to a programme of pipe loading with internal pressure, developed and adjusted to the examined pipe material. In the studies two systems of acoustic emission were used, viz. PAC Mistras 2001 and Vallen AMSY. The procedure adopted in the development of evaluation criteria based on an analysis of the recorded acoustic events was described. Next, the criteria of evaluation were presented. The effectiveness of the applied method, the validity of the adopted criteria, and the consistency of the obtained quantitative results were checked during tests performed by other NDT methods. A comparative analysis was made to serve as a complementary tool in final evaluation of the pipe overstraining process done by AE technique.
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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 | 0.001 | 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