MétaCan
Menu
Back to cohort

Vibration Suppression of Stepper Motors by the Electric Method

2021· article· en· W3171073220 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
TopicElectric Power Systems and Control
Canadian institutionsMinistère des Transports
Fundersnot available
KeywordsControl theory (sociology)StepperVibrationRotor (electric)DamperStepper motorSwitched reluctance motorControl systemEngineeringInduction motorControl engineeringComputer scienceVoltageControl (management)PhysicsMechanical engineeringElectrical engineeringAcoustics

Abstract

fetched live from OpenAlex

This article is devoted to the issue of suppressing the vibration of the rotor of stepper motors by the electric method from the control system. In the course of the work, a mathematical model of the stepper motor as an oscillatory system was developed, and the parameters of the damping link of the discrete control system were calculated. The presented results showed that the stepper motor control system with a damper could significantly reduce the amplitude and damping time of the stepper motor rotor vibrations, which positively affects the stability and positioning accuracy of the system that uses this motor. The results of this study can be applied in the development of stepper motor drivers.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.964
Threshold uncertainty score0.152

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 head0.204
Teacher spread0.200 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

Explore more

Same topicElectric Power Systems and ControlFrench-language works237,207