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Record W2139874158 · doi:10.1109/tpwrd.2012.2199523

Spatial Analysis of Thermal Aging of Overhead Transmission Conductors

2012· article· en· W2139874158 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Power Delivery · 2012
Typearticle
Languageen
FieldEngineering
TopicThermal Analysis in Power Transmission
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsElectrical conductorTransmission lineConductorElectric power transmissionOverhead lineOverhead (engineering)Transmission (telecommunications)Scheduling (production processes)ThermalPoint (geometry)Asset managementComputer scienceEngineeringElectrical engineeringMeteorologyMaterials scienceGeographyMathematics

Abstract

fetched live from OpenAlex

This paper introduces a new methodology for spatial analysis of conductor thermal aging that can be performed at three different levels: point, line, and area. The methodology uses known characteristics of transmission conductors, along with load and weather data, to determine time series of conductor temperatures and corresponding thermal aging. Weather conditions can be obtained with high resolution, providing environmental conditions virtually at every point of a transmission system. This novel approach provides a complete spatiotemporal view of the thermal state of the system, bringing a whole new dimension to the research of thermal aging. All described types of aging analysis are important for effective transmission asset management, for scheduling of line maintenance or inspections, and for planning future transmission systems.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.416
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.011
GPT teacher head0.224
Teacher spread0.213 · 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