An integrated approach for non-destructive testing of ACSR conductors: Early deployments of robotized sensors
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
Commonly used methods to inspect power line consist of visual camera, infrared camera, and binoculars. In the recent years, power line robotics has come to play a role for very detailed visual inspections and other tasks. These methods are adequate to detect damage caused by lightning strikes or exterior damages. Nothing is detected that the eyes cannot see. In order to probe under the surface of conductors, inspection methods with a certain degree of penetrating power are required. This paper lists some of the most relevant ACSR's ageing mechanism and proposes applicable sensor technologies to assess them. Then, since mid-term objectives include deploying these sensors via power line mobile robots such as LineScout, integration consideration are discussed. Finally, the paper presents preliminary results obtained with three different types of sensors and shows the current stage of development of NDT technologies aimed at inspecting the core of the ACSR conductors.
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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 | 0.000 | 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