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Record W2538838700 · doi:10.1109/tdcllm.1995.485031

Life extension of an existing transmission line

2002· article· en· W2538838700 on OpenAlexaffabout
Magdi Ishac, I.F. Boulos, Anand Goel, Don Horrocks

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicThermal Analysis in Power Transmission
Canadian institutionsHydro One (Canada)
Fundersnot available
KeywordsElectric power transmissionLife extensionOverhead (engineering)Line (geometry)Extension (predicate logic)GridComputer scienceService (business)Transmission lineProcess (computing)Transmission (telecommunications)TelecommunicationsEngineeringReliability engineeringElectrical engineeringGeographyBusinessOperating system

Abstract

fetched live from OpenAlex

The Ontario Hydro Grid System has been built up over the past 89 years and currently consists of 29,000 cct. km (18,000 cct. miles) of 115, 230 and 500 kV lines. Some of the oldest 115 kV lines, constructed in 1906, are still in-service today with most of the original components. By the year 2000, more than one-third of the transmission lines will exceed their 50 year design life. As virtually all these lines are needed indefinitely, they need to be refurbished or replaced to ensure a safe, reliable and economic operation of the transmission line system. The purpose of this paper is to present a process of assessment and evaluation of an existing overhead line and to provide some practical guidelines for life extension of old transmission lines.

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)0.001
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.035
GPT teacher head0.240
Teacher spread0.205 · 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

Citations10
Published2002
Admission routes2
Has abstractyes

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