MétaCan
Menu
Back to cohort
Record W2104275103 · doi:10.1109/apec.2000.826152

Three-phase AC/DC regulated power supplies: a comparative evaluation of different topologies

2002· article· en· W2104275103 on OpenAlexaff
Brij N. Singh, Praveen Jain, G. Joós

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsConcordia University
Fundersnot available
KeywordsConvertersRectifier (neural networks)Network topologyPWM rectifierPulse-width modulationElectronic engineeringPower electronicsComputer scienceElectronic circuitPower (physics)Topology (electrical circuits)VoltageControl theory (sociology)EngineeringElectrical engineeringControl (management)Physics

Abstract

fetched live from OpenAlex

This paper deals with a comparative evaluation of AC-DC power supplies with 220 V, three-phase AC input and 48 V DC output in 10 kVA power range. These are widely used AC-DC converters in many applications, particularly telecommunication systems. These converters can be categorized into three groups, first topologies based on single-phase switched mode rectifier and PWM semi-boost rectifier, second, topologies based on PWM current source rectifier and third, topologies based on PWM voltage source rectifier. Comparative evaluation includes number of active and passive components, number of control loops and complexity of control system, number of sensors, requirement of output stage isolation and performance of all the converters at input/output ports. Standard software for simulation for power electronics circuits provides steady state and transient performance of these converters. The size of all the active and passive components is set to meet the standard criteria for performance. The experimental verification of simulated results is carried out.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.070
GPT teacher head0.314
Teacher spread0.244 · 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 designSimulation or modeling
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

Citations23
Published2002
Admission routes1
Has abstractyes

Explore more

Same topicAdvanced DC-DC ConvertersFrench-language works237,207