A Study of Wood Inspection by Infrared Thermography, Part II: Thermography for Wood Defects Detection
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
Abstract Wood poles are among the main components of electrical distribution systems. They have to be replaced every 20–30 years due to wood decay. To reduce costs, utilities need an efficient nondestructive tool to determine the appropriate replacement time. Different techniques exist for this purpose, such as X- or gamma-ray tomography, indentation, and methods based on measurement of electrical conductivity, ultrasonic propagation, or simply bacterial culturing. Since none of these methods satisfy these utilities, it was decided to study in detail infrared thermography (NDT) in this particular context. The hypothesis is that in this particular context, wood decay corresponds to a different moisture content with respect to sound wood. In Part I of the paper the problem of wood pole NDT is analyzed using a dedicated thermal model and three different types of heating: internal through-hole, external, and by microwave. Experiments confirm modeling results: due to large defect depths, low wood thermal diffusivity, and the wood properties dependencies upon temperature, moisture, species, and fiber orientation, infrared thermography (IRT) is not appropriate for this inspection problem unless defects are close to the surface. Discussion of wood thermal properties is also included in Part I. In Part II of the paper, the wood decay inspection problem is revisited in a simpler manner: flat instead of circular geometry and shallower defects. Thermal modeling along with experimental results are presented, and the comparison is encouraging.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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 | 0.000 |
| 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