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Record W2803314241

Wind Turbine Infrasound Penetration into Homes using Narrowband Measurement Techniques

2017· article· en· W2803314241 on OpenAlexvenueno aff
Andy Metelka

Bibliographic record

VenueCanadian acoustics · 2017
Typearticle
Languageen
FieldEngineering
TopicStructural Health Monitoring Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsInfrasoundAcousticsNarrowbandHarmonicsTurbineWind powerEnvironmental scienceEngineeringMeteorologyTelecommunicationsAerospace engineeringElectrical engineeringPhysics
DOInot available

Abstract

fetched live from OpenAlex

Measurements using advanced instrumentation and Narrowband 3-dimensional FFT-based signal processing indicate the presence of harmonics at infrasonic blade pass frequencies in dwellings near multiple turbines. Proposed calculations for transmissibility are outlined with simultaneous long-term measurements at four homes. Measurement validation techniques are outlined separating naturally occurring infrasound from wind turbine infrasound. Various locations inside homes are also compared to outside measurements relating wind speed, wind direction and other audible SLM parameters. Simultaneous synchronous measurements indicate levels differ in each room of a home. Higher harmonics inside homes are reduced, however, and become more distinct relative to background infrasound. Older homes with large vented attics tend to couple these pressures into rooms below.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.764
Threshold uncertainty score0.977

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 studies0.0010.000
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 head0.036
GPT teacher head0.282
Teacher spread0.246 · 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 designObservational
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

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