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Record W1995590719 · doi:10.1049/cp.2010.0067

Losses in hybrid and active magnetic bearings applied to long term flywheel energy storage

2010· article· en· W1995590719 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
TopicMagnetic Bearings and Levitation Dynamics
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsFlywheelMagnetic bearingBearing (navigation)Energy storageWork (physics)Power (physics)Flywheel energy storageAmplitudeControl theory (sociology)MechanicsEnergy (signal processing)Magnetic fieldMaterials scienceEngineeringPhysicsAutomotive engineeringElectrical engineeringMechanical engineeringComputer scienceMagnetThermodynamics

Abstract

fetched live from OpenAlex

In this work, Radial Active Magnetic Bearings (RAMB) and PM-biased Hybrid Radial Magnetic Bearings (HRMB) were designed and optimized in the case of the Flywheel Long Term Energy Storage (LTFES). Taking into account the amplitude of external disturbance as well as unbalance force as load capacity, the effect of losses (non including losses in the power electronic) on the both RAMB and PM-biased HRMB was studied. Flywheel discharge times have been computed and drawn for a flywheel rotating at a nominal speed of 9000 rpm and self-discharging down to half-speed (4500 rpm). The evolution of this time duration versus mass of bearings is shown for different values of unbalance forces for these two magnetic bearing configurations. (6 pages)

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.889
Threshold uncertainty score0.536

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 head0.003
GPT teacher head0.181
Teacher spread0.177 · 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
Published2010
Admission routes1
Has abstractyes

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