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Record W4394564339 · doi:10.1109/access.2024.3385343

Comparative Study on the Radial Force and Acoustic Noise Harmonics of an Interior Permanent Magnet, Induction, and Switched Reluctance Motor Drive

2024· article· en· W4394564339 on OpenAlexafffund
Moien Masoumi, Berker Bilgin

Bibliographic record

VenueIEEE Access · 2024
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaCMC Microsystems
KeywordsHarmonicsSwitched reluctance motorTorqueMagnetInduction motorNoise (video)AcousticsTorque densityHarmonic analysisAutomotive engineeringComputer scienceVoltageControl theory (sociology)PhysicsEngineeringElectrical engineeringElectronic engineering

Abstract

fetched live from OpenAlex

The demand for electrical machines has been spurred by rising fuel costs, technological advancements, and urbanization. Consequently, there is an increased focus on developing machines with greater power density, improved efficiency, and enhanced vibroacoustic characteristics while promoting a more sustainable supply chain. This paper offers a thorough comparison of three distinct motor topologies: switched reluctance motor (SRM), interior permanent magnet synchronous motor (IPMSM), and induction motor (IM). The study begins with electromagnetic analysis of the motors, covering torque, output power, losses, and efficiency calculations. Subsequently, the investigation delves into radial force density waveforms, extracting the dominant radial force density harmonics and presenting patterns for each motor’s dominant radial force harmonics. Following this, a 3D assembly of the motors is introduced for modal analysis, determining their mode shapes and natural frequencies. Finally, vibroacoustic analysis is conducted for the proposed motors, with observed differences being discussed. These analyses are conducted solely for the rated operating point, as transitioning to other operating points does not alter the pattern of radial force harmonics or the correlation between acoustic noise and radial force harmonics.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.915
Threshold uncertainty score0.373

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 head0.028
GPT teacher head0.282
Teacher spread0.254 · 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 designBench or experimental
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

Citations22
Published2024
Admission routes2
Has abstractyes

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