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Polyphase PM Brushless DC Motor for High Reliability Application

2004· article· en· W2325887656 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEPE Journal · 2004
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPolyphase systemTorque rippleControl theory (sociology)Electromagnetic coilFault (geology)TorqueThree-phaseReliability (semiconductor)InverterRippleFault toleranceEngineeringDirect torque controlComputer scienceInduction motorElectronic engineeringElectrical engineeringPower (physics)Reliability engineeringPhysicsControl (management)Voltage

Abstract

fetched live from OpenAlex

This paper presents a comparative analysis of the fault tolerance of polyphase motors. Since each phase generates a smaller part of the total torque than in the case of a three-phase machine, it is easier to improve the fault tolerance with a polyphase motor. An open phase, a short-circuited phase and an inverter transistor fault are the typical faults which are considered. The current compensation of the torque ripple under fault condition for a five and seven phase machine are determined. The design of the machine must be also adapted to improve the fault tolerance. Different suitable 7-phase and 5-phase machine designs with concentrated windings are presented. A simplified control system using only one Hall effect sensor per phase is described. An 7-phase experimental setup validates the results obtained in the case of open and short-circuited phase faults.

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.

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: none
Teacher disagreement score0.702
Threshold uncertainty score0.368

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 head0.006
GPT teacher head0.218
Teacher spread0.212 · 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