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Record W3169490585 · doi:10.1109/icjece.2021.3069334

HBC-Based 3Ø System for Wide Range of Power Conversion

2021· article· en· W3169490585 on OpenAlexvenueno aff
P. Maruthu Pandi, K. Suresh

Bibliographic record

VenueCanadian Journal of Electrical and Computer Engineering · 2021
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsRectificationChopperComputer scienceInversion (geology)Electronic engineeringInverterPulse-width modulationMATLABControl theory (sociology)Test benchVoltageElectrical engineeringEngineeringEmbedded system

Abstract

fetched live from OpenAlex

The significance of this research work is the hidden bidirectional chopper (HBC) in three-phase systems for the production of a wide range of voltages. Modes of operation in the electrical system ensure productivity and quality, so the proposed system requires four modes of operation. Four modes of approaches are buck rectification, boost inversion, direct rectification, and direct inversion: the first two modes of operation are two-step conversion processes with HBC, where direct inversion and rectification modes exclude HBC for the single-stage operation. HBC is controlled by the standard PI controller to establish output on both sides as a perpetual and three-phase inverter with horizontal switches controlled by the carrier-based pulse width modulation (CBPWM) technique. The system is intended to use quantitative models and initially evaluated on the Simulink platform in MATLAB. Simulation results are validated using a real-time test bench model.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.003

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 head0.002
GPT teacher head0.132
Teacher spread0.129 · 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

Citations11
Published2021
Admission routes1
Has abstractyes

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