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Record W1909679846 · doi:10.1109/apec.1992.228356

An online UPS with improved input-output characteristics

2003· article· en· W1909679846 on OpenAlexafffund
G. Joós, Yu Lin, P.D. Ziogas, I.F. Lindsay

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of CanadaMinistère de l'Éducation, du Loisir et du Sport Québec
KeywordsPower factorHarmonicsRectifier (neural networks)InverterMains electricityUninterruptible power supplyAC powerElectrical engineeringTopology (electrical circuits)AC adapterComputer scienceVoltagePower (physics)EngineeringControl theory (sociology)PhysicsArtificial neural network

Abstract

fetched live from OpenAlex

Standard uninterruptible power supply (UPS) systems are connected in series between the AC mains and the critical load. A phase-controlled rectifier feeds a battery-supported DC bus and an inverter supplies the load. These systems require two conversion stages. Input power factor is poor and large harmonic currents are injected into the AC mains. A topology is proposed which overcomes these drawbacks by placing the inverter-battery subsystem in shunt between the AC mains and the load. The battery is charged by the inverter DC bus. In normal operation, the AC mains feed the load directly, and the inverter supplies only a small amount of reactive power required to maintain the power factor very close to unity and to regulate the load voltage. The system has the following advantages: a near unity power factor, reduced line current harmonics and higher efficiency. The operation of the proposed topology and design considerations are analyzed, and operating characteristics are verified.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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 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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.929
Threshold uncertainty score0.538

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 head0.011
GPT teacher head0.206
Teacher spread0.195 · 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 teacher head, 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

Citations21
Published2003
Admission routes2
Has abstractyes

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