MétaCan
Menu
Back to cohort
Record W2050638998 · doi:10.5539/cis.v3n2p140

The Simulation of Switched Reluctance Motor with the Rapid Nonlinear Method

2010· article· en· W2050638998 on OpenAlexvenueno aff
Zhen Guo, Min Zhang, Xinping Ding

Bibliographic record

VenueComputer and Information Science · 2010
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSwitched reluctance motorComputer scienceNonlinear systemSalientControl theory (sociology)Magnetic reluctanceReluctance motorMagnetRotor (electric)PhysicsArtificial intelligenceElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

Considering the significant magnetic saturation and the double salient poles of Switched Reluctance Motor (SRM), this paper presents a new method combining the Rapid Nonlinear Simulation Method with the Equivalent Magnet Circuit Analysis Model, which can make the accuracy and rapidity of the calculation of the performance of SRM achieved. This paper also presents a model of SRM, implements the rapid nonlinear simulation method to the model and lay the necessary foundation for SRM optimization.

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: none
Teacher disagreement score0.890
Threshold uncertainty score0.134

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 communication0.0000.001
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 head0.007
GPT teacher head0.230
Teacher spread0.223 · 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
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueComputer and Information ScienceSame topicElectric Motor Design and AnalysisFrench-language works237,207