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Record W2095504760 · doi:10.1299/jsmec.46.349

A Lorentz Force Type Self-Bearing Motor with New 4-Pole Winding Configuration

2003· article· en· W2095504760 on OpenAlexaff
Seung‐Jong Kim, Keisuke Abe, Hideki Kanebako, Yohji OKADA, Chong-Won Lee

Bibliographic record

VenueJSME International Journal Series C · 2003
Typearticle
Languageen
FieldEngineering
TopicMagnetic Bearings and Levitation Dynamics
Canadian institutionsKootenay Association for Science & TechnologyMD Precision (Canada)
Fundersnot available
KeywordsLorentz forceBearing (navigation)Rotor (electric)Control theory (sociology)MagnetMagnetic bearingType (biology)Computer sciencePhysicsMechanical engineeringEngineeringMagnetic fieldControl (management)Artificial intelligence

Abstract

fetched live from OpenAlex

Aiming at small high-speed rotating machines, this paper proposes a Lorentz force type self-bearing motor, where a new four-pole winding configuration is used to make it function both as a synchronous permanent-magnet motor and as a magnetic bearing. Due to using Lorentz force dominantly, the proposed motor has some good points such as linearity of control force and facility of design and analysis. And compared with the 8-pole type previously developed, it is advantageous at high speed. Focusing on the feasibility of the proposed motor, this paper introduces a prototype, which is manufactured in disk type with an outer rotor and successfully run up to 12600rpm without contact. Static and dynamic characteristics of the prototype are examined.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.209
Teacher spread0.202 · 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 source (direct Gemma or distilled Codex), 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

Citations7
Published2003
Admission routes1
Has abstractyes

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Same venueJSME International Journal Series CSame topicMagnetic Bearings and Levitation DynamicsFrench-language works237,207