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Record W2898289728 · doi:10.1109/icelmach.2018.8507082

Performance Prediction of a Dual Inverter Open Winding IPMSM Drive Considering Machine's Saturation and Losses

2018· article· en· W2898289728 on OpenAlexaff
Gayan Watthewaduge, Mohammad Sedigh Toulabi, Shaahin Filizadeh

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsInverterTorqueControl theory (sociology)MagnetSaturation (graph theory)Finite element methodCore (optical fiber)Synchronous motorDual (grammatical number)Permanent magnet synchronous motorComputer scienceElectromagnetic coilEngineeringElectrical engineeringPhysicsVoltageMathematicsStructural engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

In this paper, the effects of core saturation and machine's losses are considered to predict the performance of a conventional single inverter and a dual inverter open winding Interior Permanent Magnet Synchronous Motor (IPMSM) drive in Maximum Torque per Ampere (MTPA) and Field Weakening (FW) regions using Finite Element Analysis (FEA). It is shown how core saturation, which is a direct function of machine's loading, affects the d- and q-axis inductances and saliency ratio, and the losses including core, solid (due to skin and proximity effects), and mechanical losses significantly change in various operating points and may affect the operating capability of the machine in different drive configurations.

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: Empirical
Teacher disagreement score0.930
Threshold uncertainty score0.247

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 head0.015
GPT teacher head0.211
Teacher spread0.196 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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