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Record W2098241032 · doi:10.1109/ccece.2004.1347635

Tension control loop using a linear actuator based on the energetic macroscopic representation

2004· article· en· W2098241032 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
TopicVibration and Dynamic Analysis
Canadian institutionsUniversité du Québec à Trois-Rivières
FundersInstitute of Museum and Library Services
KeywordsActuatorControl theory (sociology)Tension (geology)Loop (graph theory)Representation (politics)VoltageFeedback loopSynchronismWork (physics)Computer scienceControl systemEngineeringMechanical engineeringControl (management)PhysicsMathematicsClassical mechanicsArtificial intelligence

Abstract

fetched live from OpenAlex

In the paper, plastic, textile and other industries, continuous processes require several drives to work in synchronism. Regulation of the tension in the material is of prime importance for quality. We propose a control structure that incorporates a linear actuator to improve the performance of the tensioning loop to disturbances such as voltage supply fluctuations. Two nip stages and a roller mounted on a linear actuator compose the test system. The linear actuator is used to close a tension loop, the first nip stage is velocity controlled and the second is used to maintain the linear actuator close to its mid range of operation. The control laws are deduced from the maximum control structure of an energetic macroscopic representation of the system. The results show the potential of the approach to reduce sensibility to voltage sags in multi-machine systems.

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: none
Teacher disagreement score0.781
Threshold uncertainty score0.283

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 head0.013
GPT teacher head0.243
Teacher spread0.229 · 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

Citations14
Published2004
Admission routes1
Has abstractyes

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