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Record W2150160113

EMULATION OF A SMALL WIND TURBINE SYSTEM WITH A SEPARATELY-EXCITED DC MACHINE

2008· article· en· W2150160113 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

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsTurbineControl theory (sociology)DC motorWind powerTorqueRotational speedInertiaEngineeringArmature (electrical engineering)Rotor (electric)Power optimizerElectrical engineeringComputer sciencePhysicsMechanical engineeringMaximum power point trackingElectromagnetic coilVoltage
DOInot available

Abstract

fetched live from OpenAlex

A small wind turbine emulator based on a separately excited DC machine is described in this paper. The experimental rig consists of a PC, Lab Master I/O board, power electronics circuitry and a 3HP separately excited DC motor which drives a synchronous generator. Varying aerodynamic power of the wind turbine due to furling action and its resulting dynamics are incorporated in the emulator with the use of a PC based wind turbine model. The shaft torque of the dc motor is determined from the armature current and parameters of the DC drive obtained by experimentation. In order to reflect the inertia of a small wind turbine an inertia disk is designed and coupled to the generator shaft and separately- excited DC motor. A digital PI controller is designed which makes sure that the actual rotational speed of the motor is tracking the theoretical rotational speed of the wind turbine rotor. The system design, model used and experimental results of the small wind turbine emulator are presented in the paper.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.000

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 head0.275
GPT teacher head0.465
Teacher spread0.190 · 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