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Record W1514846587 · doi:10.1109/tdc.2003.1335054

Real time monitoring system for 230 kV cables in tunnels

2004· article· en· W1514846587 on OpenAlexaff
George J. Anders, J.M. Braun, S. Rizzetto, D. Casselman

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicThermal Analysis in Power Transmission
Canadian institutionsKinectrics (Canada)
Fundersnot available
KeywordsElectronic circuitConductorElectrical engineeringVoltageProfitability indexElectrical conductorAsset (computer security)Computer scienceData acquisitionEngineeringReliability engineeringComputer securityMaterials scienceOperating system

Abstract

fetched live from OpenAlex

Real time monitoring systems for high voltage cable systems are becoming essential for ensuring asset profitability in the competitive utility environment. Real time information about the conductor temperature which a cable can experience without risking failure is extremely beneficial. This presentation describes the systems developed by Kinectrics for the Saunders GS plant on four high voltage cable circuits. The systems are customized to the specific circuits and circuit configurations and involve multiple distributed sensors strategically located along the cables. The systems provide real time display of all measured quantities in addition to computed conductor temperatures. The systems use rugged, commercial data acquisition and communication 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.

How this classification was reachedexpand

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.564
Threshold uncertainty score0.372

Codex and Gemma teacher scores by category

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

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 head0.007
GPT teacher head0.214
Teacher spread0.207 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations8
Published2004
Admission routes1
Has abstractyes

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