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Record W2103933751 · doi:10.1109/ias.2004.1348605

Analytical design method of polyphase claw-pole machines

2004· article· en· W2103933751 on OpenAlexaff
J. Cros, Jose R. Figueroa, P. Viarouge

Bibliographic record

VenueConference Record of the 2004 IEEE Industry Applications Conference, 2004. 39th IAS Annual Meeting. · 2004
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPolyphase systemRotor (electric)ClawComputer scienceComputationDesign methodsField (mathematics)Nonlinear systemEngineeringMechanical engineeringElectronic engineeringMathematicsAlgorithmPhysics

Abstract

fetched live from OpenAlex

This work presents a design methodology for polyphase claw pole machines with a centralized-concentrated winding and a surface mounted PM rotor. The methodology is used for the selection of the best structure configuration and material characteristics and for the computation of geometrical motor dimensions, according to the application specifications. The methodology has been developed to study several different polyphase claw pole structures. The different design steps include the determination of 2D equivalent structures, the interactive use of an analytical tool, a nonlinear constrained optimization method, and a 2D field calculation tool. The design methodology has been validated with a 3D field calculation tool and by experimental results measured on existing prototypes.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.031
GPT teacher head0.285
Teacher spread0.253 · 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
GenreMethods

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

Citations5
Published2004
Admission routes1
Has abstractyes

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