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Record W2096117816 · doi:10.1109/tdc.2001.971222

230 kV optical voltage transducer using a distributed optical electric field sensor system

2002· article· en· W2096117816 on OpenAlexaffabout
P.P. Chavez, F. Rahmatian, Nicolas A. F. Jaeger

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMagneto-Optical Properties and Applications
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTransducerVoltageImpulse (physics)High voltageElectrical engineeringPartial dischargeConductorEngineeringElectric fieldMaterials sciencePhysics

Abstract

fetched live from OpenAlex

Optical technology for use in high-voltage (HV) environments has advanced considerably over the past decade. The design and testing of HV optical voltage transducers (OVTs) that use a series of small optical electric field sensors are described. Three 230 kV OVTs were built and were successfully tested as per IEC (60044-2 and -7), IEEE/ANSI C57.13, and BC Hydro internal specifications at Powertech Labs in Surrey, British Columbia, Canada. The devices met the accuracy requirements of IEC 0.2% class and IEEE 0.3% class and passed lightning impulse tests, chopped impulse tests, partial discharge tests, wet and dry power-frequency withstand tests, and mechanical withstand tests. Further tests showed that the OVTs maintained their calibrations in the presence of "substation-like" changes in local conductor geometry.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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

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 head0.018
GPT teacher head0.199
Teacher spread0.181 · 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 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

Citations4
Published2002
Admission routes2
Has abstractyes

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