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Record W2164243130 · doi:10.1109/pac.2001.988223

A 250 kW four quadrant switch mode converter for the 1.4 GeV PS-booster beam transfer lines at CERN

2002· article· en· W2164243130 on OpenAlexaff
S.B. Dewan, R. Holmes, K. Reiniger, F. Voelker, Junming Zeng

Bibliographic record

VenuePACS2001. Proceedings of the 2001 Particle Accelerator Conference (Cat. No.01CH37268) · 2002
Typearticle
Languageen
FieldEngineering
TopicParticle Accelerators and Free-Electron Lasers
Canadian institutionsUniversity of TorontoTRIUMF
Fundersnot available
KeywordsInsulated-gate bipolar transistorEMIElectrical engineeringSnubberConvertersElectromagnetic interferenceRippleHarmonicsBoost converterBooster (rocketry)Electronic engineeringPhysicsTopology (electrical circuits)VoltageEngineeringCapacitor

Abstract

fetched live from OpenAlex

This paper describes a four quadrant, 250 kW (550 V, 450 A) switch-mode, zero current soft switching (ZCS) power converter for a 1.4 GeV beam transfer line magnet. The ZCS technique is the preferred approach for the high power switch-mode converters employing insulated gate bipolar transistors (IGBT) to reduce switching losses and EMI. This switch-mode power converter topology has been selected because of the high dynamic response, low output ripple, and low input current harmonics. In this paper, the circuit topology, function of the system components, key system specifications and experimental results for a 250 kW switch-mode converter are described in detail. The experimental results include output current transient response and conducted electromagnetic interference (EMI, measurements at both AC input and DC output). The design and development process employed is based on virtual electrical simulation of the system. This technique has been essential for the successful development of this unit.

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)0.000
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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.230
Teacher spread0.182 · 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

Citations1
Published2002
Admission routes1
Has abstractyes

Explore more

Same venuePACS2001. Proceedings of the 2001 Particle Accelerator Conference (Cat. No.01CH37268)Same topicParticle Accelerators and Free-Electron LasersFrench-language works237,207