Validation through field data of LineCore, a lightweight Eddy-current sensor for the early detection of corrosion of ACSRs
Bibliographic record
Abstract
Since 2014, Hydro-Québec is using LineCore technology for the early detection of corrosion in ACSRs. This paper features, for the first time, an extensive validation based on measures on in-lab prepared samples and metallographic analysis on field collected samples. The experimental validation protocol is presented which resulted in 21 cuts and thousands of zinc layer thickness measurements. Key finding is the very high variability of zinc layer thicknesses observed on all samples. Correlation between LineCore data and metallographic cuts is established. More specifically, LineCore measurement features a bias toward local minimum values of zinc thickness on the strands, which can be indicative of localized corrosion initiation. By sharing these results, the authors wish to initiate discussion that could help standardize the usage of this novel NDT technology for the assessment of transmission line conductors.
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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 | 0.003 | 0.008 |
| 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".