MétaCan
Menu
Back to cohort
Record W2743805383 · doi:10.4050/f-0073-2017-12024

Individual Blade Control for Rotorcraft Using Mechanically Programmable Displacement Control

2017· article· en· W2743805383 on OpenAlexaff
Carlos A. Fenny

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMagnetic Bearings and Levitation Dynamics
Canadian institutionsBell Helicopter Textron (Canada)
Fundersnot available
KeywordsBlade (archaeology)Displacement (psychology)Control (management)EngineeringComputer scienceControl theory (sociology)Control engineeringMechanical engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

The application of Higher Harmonic Control (HHC) and Individual/Independent Blade Control (IBC) offer the potential for significant improvements in rotary wing performance. Despite large investments by industry and government agencies over the past 20 years, a successful transition of HHC and IBC to a production aircraft has not yet occurred. Failures of prior IBC designs to achieve practical application has been attributed to deficiencies in existing material, mechanical power generation and system control technologies. Alternatively, the case can be made that prior IBC concepts failed due to their inherent design impracticality. The new IBC technology of Mechanically Programmable Displacement (MPDC) offers a rapid path to the practical implementation of an HHC/IBC system using currently existing proven technologies.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.021
GPT teacher head0.261
Teacher spread0.240 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same topicMagnetic Bearings and Levitation DynamicsFrench-language works237,207