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Record W2393384179

Dynamic characteristics of a ball bearing-offset disk rotor system with whirling-swing coupling

2014· article· en· W2393384179 on OpenAlexaff
Liang Ming-xua

Bibliographic record

VenueZhendong yu chongji · 2014
Typearticle
Languageen
FieldEngineering
TopicGear and Bearing Dynamics Analysis
Canadian institutionsScience North
Fundersnot available
KeywordsSwingVibrationHelicopter rotorCritical speedOffset (computer science)Ball (mathematics)Nonlinear systemRotor (electric)Bearing (navigation)Control theory (sociology)MechanicsEngineeringPhysicsAcousticsComputer scienceMechanical engineeringMathematics
DOInot available

Abstract

fetched live from OpenAlex

Dynamic model of a ball bearing-offset disk rotor system with whirling-swing coupled vibration was built considering rotor disk offsetes and disk swing vibration.In the model of ball bearings,clearance of bearings,nonlinear Hertzian contact force between balls and races and varying compliance vibration were considered.Numerical methods were adopted to solve and compare the dynamic responses of the system under different disk offsetes with or without disk swing vibration considered.Effects of bearing clearance variation on the dynamic performance of the model under different rotor disk offsetes were analyzed.It was shown that the nonlinear dynamic response features of the offset disk rotor system are enhanced obviously considering rotor disk swing vibration; the system under different rotor disk offsetes contains diverse frequency components at the same speed; the larger the level of rotor disk offset,the higher the sensitivity of the critical speeds of the system to bearing clearance variation.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.175
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.172
Teacher spread0.169 · 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 teacher head, not a consensus.

Study designSimulation or modeling
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

Citations1
Published2014
Admission routes1
Has abstractyes

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