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Record W2086492340 · doi:10.1115/1.4023666

Dynamic Analysis of a Complex Pneumatic Valve Using Pseudobond Graph Modeling Technique

2013· article· en· W2086492340 on OpenAlex
Amir Zanj, Hamed Afshari

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

VenueJournal of Dynamic Systems Measurement and Control · 2013
Typearticle
Languageen
FieldEngineering
TopicHydraulic and Pneumatic Systems
Canadian institutionsMcMaster University
Fundersnot available
KeywordsReducerComputer scienceMATLABGraphSystem dynamicsSimulationBond graphControl engineeringControl theory (sociology)EngineeringTheoretical computer scienceMechanical engineeringArtificial intelligenceMathematics

Abstract

fetched live from OpenAlex

In this work, the dynamic behaviors of a complex pneumatic reducer valve have been studied through the pseudobond graph modeling technique. This modeling approach graphically describes the energy and mass flows among pneumatic valve components during real operational conditions. State equations have been derived from the pseudobond graph model and have been numerically solved by matlab-Simulink. To validate the accuracy of the model, simulation results are compared with the real data of an experimental setup and good agreements between them are reported. The main advantage of the proposed model over other conventional approaches such as fluid dynamics theories is that it provides a physical model which accurately predicts the system's dynamic responses without any need to run huge computer programs or establish expensive experimental setups.

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)0.002
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 score0.619
Threshold uncertainty score0.881

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.024
GPT teacher head0.226
Teacher spread0.202 · 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