MétaCan
Menu
Back to cohort

Study of Rogowski Coils for Measuring Pulse Currents of the High-Power Laser Source

2005· article· en· W2049805267 on OpenAlexvenueno aff
Wenhua Li, Chengxiong Mao, Junjie Lu, Zhonggan Yao

Bibliographic record

VenueInternational Journal of Power and Energy Systems · 2005
Typearticle
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsRogowski coilPulse (music)Electrical engineeringPower (physics)LaserPulsed powerCurrent (fluid)OpticsMaterials sciencePhysicsVoltageEngineering

Abstract

fetched live from OpenAlex

Being an indispensable part of the high-power, high-voltage laser source, the PSM (power supply module) must be of high stability and reliability. For achieving such performance, it is necessary to measure the pulse currents of the PSM quickly with high accuracy. A novel instrumentation based on Rogowski coil current transducer (CT) is applied to measure the laser power source. For effectively inhibiting the integrating drift, a new type of integrator is applied in the instrument. The analyses of models, time-domain specifications, and frequency characteristics of the CT are presented. The optimal parameters of the CT, such as damping resistance, parameters of the integrator, and dimension of the coil, are also presented. Both the method to calibrate the degree of linearity of the CT and experimental results for measuring the PSM are presented.

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)0.002
metaresearch head score (Gemma)0.004
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: none
Teacher disagreement score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
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 head0.010
GPT teacher head0.227
Teacher spread0.217 · 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

Citations12
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Power and Energy SystemsSame topicMagnetic Field Sensors TechniquesFrench-language works237,207