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Record W2160647678 · doi:10.1109/tim.2009.2038029

Calibration of Rogowski Coils at Frequencies up to 10 kHz Using Digital Sampling

2010· article· en· W2160647678 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 Instrumentation and Measurement · 2010
Typearticle
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsRogowski coilCalibrationSampling (signal processing)Current transformerNotationElectrical engineeringElectronic engineeringMathematicsTransformerVoltageEngineeringElectromagnetic coilDetectorArithmeticStatistics

Abstract

fetched live from OpenAlex

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> A new system for calibration of Rogowski coils at frequencies up to 10 kHz, based on a reference current transformer, a reference ac shunt, and a digital sampling system, is described in the paper. The calibration system has been automated, and its performance has been evaluated. At the frequency of 10 kHz, the calibration system is capable of generating currents up to 100 A. At power frequencies, it is capable of generating currents up to 2000 A. The best uncertainties <formula formulatype="inline"><tex Notation="TeX">$(k = 2)$</tex></formula> of the calibration system are estimated to be less than 500 <formula formulatype="inline"><tex Notation="TeX">$\mu\hbox{A/A}$</tex></formula> for magnitude and 500 <formula formulatype="inline"><tex Notation="TeX">$\mu\hbox{rad}$</tex></formula> for phase at 10 kHz and an order of magnitude better at power frequencies. </para>

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 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 score0.304
Threshold uncertainty score0.473

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 head0.049
GPT teacher head0.258
Teacher spread0.209 · 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