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Record W4252214754 · doi:10.1109/tdc.1991.169603

Aged ACSR conductors. II. Prediction of remaining life

2002· article· en· W4252214754 on OpenAlexaffabout
D.G. Havard, M.K. Bissada, C.G. Fajardo, D.J. Horrocks, J.R. Meale, J. Motlis, M. Tabatabai, K.S. Yoshiki-Gravelsins

Bibliographic record

VenueProceedings of the 1991 IEEE Power Engineering Society Transmission and Distribution Conference · 2002
Typearticle
Languageen
FieldEngineering
TopicMechanical stress and fatigue analysis
Canadian institutionsHydro One (Canada)
Fundersnot available
KeywordsElectrical conductorOverhead (engineering)ConductorService lifeDuctility (Earth science)CorrosionIndex (typography)EngineeringForensic engineeringComputer scienceEnvironmental scienceElectrical engineeringMaterials scienceReliability engineeringComposite material

Abstract

fetched live from OpenAlex

For Pt.I, see ibid., pp.835-841 (1991). In Pt.I, methods of testing to determine the overall condition of Ontario Hydro's overhead conductors were described. The analysis of the test results relative to estimated end-of-life values is presented. The remaining useful life of conductors can be estimated from the curves of progressive degradation. Air pollution studies have led to an environmental corrosion index, which has been correlated with remaining life based on the torsional ductility of steel core wires. This had been used to map expected conductor life across the province. The average service life is found to vary between 67 and 77 years depending on the local contamination level.>

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.004

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.

Opus teacher head0.019
GPT teacher head0.187
Teacher spread0.167 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2002
Admission routes2
Has abstractyes

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Same venueProceedings of the 1991 IEEE Power Engineering Society Transmission and Distribution ConferenceSame topicMechanical stress and fatigue analysisFrench-language works237,207