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Record W4395069513 · doi:10.1109/icjece.2024.3370589

Design of Novel Single-Frame Dual-Voltage (28-/270-V DC) Permanent Magnet Generator

2024· article· en· W4395069513 on OpenAlexvenueno aff
Jaishankar Chinnachamy, Hosimin Thilagar Srinivasan

Bibliographic record

VenueCanadian Journal of Electrical and Computer Engineering · 2024
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGenerator (circuit theory)MagnetDual (grammatical number)Permanent magnet synchronous generatorElectrical engineeringFrame (networking)Shunt generatorVoltagePhysicsComputer scienceEngineeringTelecommunicationsPower (physics)Art

Abstract

fetched live from OpenAlex

Armored fighting vehicles (AFVs) of the future will be equipped with electrical drives and many electronic systems, such as computers, sensors, displays, actuators, and other sensitive electronics. Electric drive systems have the potential to substantially increase the efficiency of combat vehicles. The demand for electrical power in AFV has grown beyond the limits of that can be managed by the existing 28-V dc system. There is a necessity to switch from the single electrical bus configuration to a dual bus voltage configuration. This article describes the design procedure of a novel permanent magnet (PM) dual voltage generator for simultaneously providing power at two different voltages. Test results are presented and discussed.

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 communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.011
GPT teacher head0.169
Teacher spread0.158 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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