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Record W2889232036 · doi:10.1109/itec.2018.8450084

Modified Phase-disposition PWM Technique for Modular Multilevel Converters

2018· article· en· W2889232036 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsPulse-width modulationConvertersElectronic engineeringModular designCapacitorVoltageWaveformPower (physics)Modulation (music)Computer scienceHarmonicControl theory (sociology)EngineeringElectrical engineeringPhysics

Abstract

fetched live from OpenAlex

Modular multilevel converters (MMCs) are considered to be a suitable candidate to improve the energy conversion efficiency and fault tolerant ability of electric propulsion systems. These converters offer advantages such as modularity, low harmonic contents, high availability, lower electro-magnetic interface and no bulk dc-link capacitors. Phase-shifted pulse width modulation (PS-PWM) is a natural PWM method for MMCs as it ensures even power distribution and equal switching frequency on submodules (SM). However, this technique suffers from lack of waveform quality and optimal switching. In contrast, phase-disposition PWM (PD-PWM) technique ensures better voltage profile and lack of even power distribution. A modified rotative PD-PWM (MPD-PWM) technique is proposed in this paper, to overcome the problem of uneven power distribution. Moreover, a common mode voltage is injected to PWM modulator, which decreases the switching transitions and increases the fundamental voltage. The key performance of each PWM scheme for half bridge submodule (HB-SM) based three-phase MMC (4 SMs per arm) are holistically evaluated by simulations in PLECS software.

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.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.966
Threshold uncertainty score0.379

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 head0.019
GPT teacher head0.269
Teacher spread0.250 · 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

Quick stats

Citations22
Published2018
Admission routes1
Has abstractyes

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