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Record W2182462293

Optimization of a Direct Drive Active Heave Compensator

2008· article· en· W2182462293 on OpenAlexaff
Ryan S. Nicoll, Bradley J. Buckham, Frederick Driscoll

Bibliographic record

VenueThe Eighteenth International Offshore and Polar Engineering Conference · 2008
Typearticle
Languageen
FieldEngineering
TopicUnderwater Vehicles and Communication Systems
Canadian institutionsUniversity of VictoriaDynamic Systems Analysis (Canada)
Fundersnot available
KeywordsWinchControl theory (sociology)Compensation (psychology)EngineeringControl engineeringNonlinear systemWork (physics)Coupling (piping)Control systemMarine engineeringComputer scienceControl (management)Mechanical engineeringPhysicsElectrical engineering
DOInot available

Abstract

fetched live from OpenAlex

Heave compensation systems enable vertically tethered systems to operate in dynamic sea states. Both passive and active systems can be implemented to reduce tether tension fluctuations and submerged equipment oscillations. This paper presents work completed on the analysis of a winch-controlled active heave compensator for a vertically tethered system. Simulation-based design methods were used to evaluate the heave compensation given the complete nonlinear coupling between environment, tether, and winch behavior. The analysis provides insight on the controller gain values and power requirements of the winch to operate in a variety of system configurations and sea state conditions. In addition, the benefit of a passive compensator system coupled to the active system highlights the potential utility of a hybrid heave compensator system.

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.

How this classification was reachedexpand

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 score0.372
Threshold uncertainty score0.357

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 head0.017
GPT teacher head0.202
Teacher spread0.185 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2008
Admission routes1
Has abstractyes

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