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Record W2946856996 · doi:10.1109/apec.2019.8721809

A New 5–Level Voltage Source Inverter

2019· article· en· W2946856996 on OpenAlexaff
Apparao Dekka, Ali Ramezani, Saeed Ounie, Mehdi Narimani

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsMcMaster University
Fundersnot available
KeywordsVoltageCapacitorSpace vector modulationInverterDropout voltageVoltage regulationComputer scienceVoltage dividerWaveformVoltage sourceElectronic engineeringTopology (electrical circuits)EngineeringControl theory (sociology)Electrical engineeringControl (management)

Abstract

fetched live from OpenAlex

This paper presents a new 5-level voltage source inverter for medium-voltage, high-power applications. The proposed topology uses a less number of active components in comparison with classical 5-level topologies. In the proposed inverter, the flying capacitors voltage needs to be regulated at 1/4 of the net dc-link voltage to generate a 5-level voltage waveform at the output. In order to control the output voltage and flying capacitors voltage, a space vector modulation (SVM) scheme is developed. This technique utilizes the redundancy switching states to generate a desired output voltage and regulate the flying capacitors voltage at their nominal value, simultaneously. The steady-state and transient performance of the proposed inverter are verified through MATLAB simulations.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.884
Threshold uncertainty score0.996

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)0.0060.004

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 head0.013
GPT teacher head0.183
Teacher spread0.170 · 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; both teacher heads agree on what is shown here.

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
Published2019
Admission routes1
Has abstractyes

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