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Record W2392722609

Modeling Using Circuit Network Method for Hydraulic System

2006· article· en· W2392722609 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

VenueMachine Tool & Hydraulics · 2006
Typearticle
Languageen
FieldEngineering
TopicIndustrial Technology and Control Systems
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsBond graphComputer scienceTransfer functionGraphHydraulic circuitHydraulic machineryNetwork analysisEquivalent circuitCircuit diagramNetwork modelAlgorithmTheoretical computer scienceElectronic engineeringEngineeringMathematicsMechanical engineeringArtificial intelligenceElectrical engineering
DOInot available

Abstract

fetched live from OpenAlex

The mathematical model in format of transfer function could be written directly through observing its circuit diagram using circuit network modeling method.The bond graph of a hydraulic system could be easily drawn using bond graph modeling method.The circuit network modeling method was extended from circuit system into hydraulic system by medium of bond graph.The bond graph of a hydraulic system was drawn,and then transformed into its equivalent circuit diagram,the mathematical model in format of transfer function was directly written according to the circuit network modeling method.Calculation of an actual example shows that the method is simple,rapid and visual.

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)0.001
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: none
Teacher disagreement score0.968
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.019
GPT teacher head0.235
Teacher spread0.216 · 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