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Record W2320098026 · doi:10.1109/tmech.2014.2311382

Modeling of Torsional Compliance and Hysteresis Behaviors in Harmonic Drives

2014· article· en· W2320098026 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

VenueIEEE/ASME Transactions on Mechatronics · 2014
Typearticle
Languageen
FieldEngineering
TopicGear and Bearing Dynamics Analysis
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsHarmonicHysteresisCompliance (psychology)Harmonic driveNonlinear systemControl theory (sociology)Generator (circuit theory)EngineeringComputer scienceControl (management)Power (physics)AcousticsPhysicsMechanical engineeringPsychology

Abstract

fetched live from OpenAlex

Nonlinear torsional compliance and hysteresis are associated with harmonic drives, and their accurate modeling is crucial for improving performance of the control system of harmonic drive-based devices such as robot joints. In this paper, a new approach is taken to model the torsional compliance and hysteresis behavior in harmonic drives. The proposed model is derived by modeling the compliance behavior of the flexspline and the wave generator instead of modeling the individual behaviors of the overall harmonic drive transmission. The hysteresis loss is captured by taking the wave generator torsional compliance into account. The proposed model is validated through numerical simulations and subsequently with experimental data.

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: Empirical
Teacher disagreement score0.405
Threshold uncertainty score0.548

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 head0.015
GPT teacher head0.225
Teacher spread0.209 · 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