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Record W2289429782 · doi:10.1109/iemdc.2015.7409194

The effect of the three level neutral point clamped (NPC) inverter on the core loss of a synchronous reluctance machine (SynRM)

2015· article· en· W2289429782 on OpenAlexaff
Lesedi Masisi, Maged Ibrahim, Pragasen Pillay

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsConcordia University
Fundersnot available
KeywordsStatorYoke (aeronautics)InverterMagnetic reluctanceWaveformControl theory (sociology)Core (optical fiber)Pulse-width modulationElectromagnetic coilReduction (mathematics)Electrical steelMaterials scienceMagnetEngineeringElectrical engineeringComputer scienceVoltageMathematicsControl system

Abstract

fetched live from OpenAlex

The effects of the three level inverter on the core losses of a SynRM are investigated particularly at the stator yoke and tooth. A comparative study on the effects of space vector pulse width modulated (SV-PWM) two and three level inverter on the iron/core loss are analyzed. A SynRM stator made of silicon steel, M36, 0.35 mm thickness is used. The machine was driven from a two and three level inverters and the current waveforms where used in the finite element model so as to capture the flux densities. The SynRM stator was then excited by these flux density waveforms obtained from the FE model. Tests were conducted at 30 Hz, 60 Hz and 180 Hz and there was an approximate 6 % reduction in core losses at 180 Hz under a three level inverter drive. The reduction in core losses were significant on the stator tooth than on the stator yoke. The use of a three level inverter will reduce the burden of the cooling system on the machine.

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)0.001
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: Empirical
Teacher disagreement score0.757
Threshold uncertainty score0.282

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.022
GPT teacher head0.213
Teacher spread0.192 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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