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Record W2810470492 · doi:10.4050/f-0074-2018-12760

Achieving Near Zero N/Rev Vibration with Zero-Vibe Technology

2018· article· en· W2810470492 on OpenAlexaff
Michael Monico, James DiOttavio

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsZero (linguistics)VibrationComputer sciencePhysicsAcoustics

Abstract

fetched live from OpenAlex

This paper discusses the results of the proof-of-concept flight test of the Zero-Vibe™ system on a UH-60M aircraft. This flight test demonstrated the Zero-Vibe™ technology and its ability to achieve historically low vibration levels on a rotary wing aircraft. The Zero-Vibe™ system achieved better vibration reductions than the baseline UH-60M bifilar and Active Vibration Control System (AVCS) in steady level flight. Global vibration reductions were demonstrated which are unachievable with the current vibration control system architecture. The risk of a secondary n/rev vibration source due to wake impingement on the tail was realized during the test and was addressed with additional Circular Force Generators (CFGs) mounted to the tail. The data collected from this test showed clear improvement compared to the baseline AVCS demonstrating the overwhelming benefit of controlling vibration at the source.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.005
GPT teacher head0.187
Teacher spread0.181 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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