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Record W2316208838 · doi:10.1109/ecce.2014.6953929

Hybrid generator for wind generation systems

2014· article· en· W2316208838 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWind Turbine Control Systems
Canadian institutionsMcMaster University
Fundersnot available
KeywordsExciterWind powerElectrical engineeringStatorElectricity generationPermanent magnet synchronous generatorTransformerVoltageRectifier (neural networks)TurbineGenerator (circuit theory)EngineeringConvertersComputer scienceAutomotive engineeringPower (physics)PhysicsMechanical engineering

Abstract

fetched live from OpenAlex

This paper proposes a new high voltage hybrid generator (HG) employed in a proposed off-shore wind generation system with HVDC interconnection and transmission. The proposed system is compared with an existing commercial wind generation system and shown to be more efficient, to have lower mass, hence potentially lower cost. The system in this paper offers a much simplified power conversion for wind turbines, in particular the gearbox (GB), low voltage generator, back-to-back voltage source converters (VSC) and turbine transformer typical of existing commercial systems are replaced with a high voltage direct drive HG and a passive rectifier. The proposed HG uses two rotor field excitations, permanent magnet (PM) and wound field (WF). Voltage and power control of the HG is facilitated via the machine WF energized by a brushless exciter. Further, the HG employs a multiphase stator winding that yields improved power density while essentially eliminating the smoothing devices that would otherwise be required. A prototype HG is built and tested to validate the effectiveness of the design.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.656
Threshold uncertainty score0.412

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 head0.011
GPT teacher head0.187
Teacher spread0.176 · 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

Quick stats

Citations18
Published2014
Admission routes1
Has abstractyes

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