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Record W1837310540

Method to evaluate the running time of pneumatic tools in a car workshop

2011· article· en· W1837310540 on OpenAlexvenueno aff
Esko Toppila, Rauno Pääkkönen, Riitta Sauni

Bibliographic record

VenueCanadian acoustics · 2011
Typearticle
Languageen
FieldComputer Science
TopicSensor Technology and Measurement Systems
Canadian institutionsnot available
Fundersnot available
KeywordsPressure regulatorSmoothingGas compressorSoftwareAutomotive engineeringRelayEngineeringPower (physics)SIGNAL (programming language)SimulationComputer scienceElectrical engineeringControl engineeringMechanical engineeringPhysicsOperating system
DOInot available

Abstract

fetched live from OpenAlex

A measuring device that is capable of measuring the actual trigger times of several working points simultaneously of pneumatic tools in a car workshop is developed. The system consists of several high precision digital pressure switches capable of fast detection of pressure and the switches have a common power supply delivering 12 V DC. The readings were data logged to the hard disk of a computer with software developed with Agilent VEE-Pro 6.0. The pressure curve shows pressure changes caused by the use of tools and the slow variation caused by the relay control of the air compressor. The absolute value of high-pass filtered signal is smoothed using the Savitsky-Golay smoothing. The system is tested in one car shop where a pressure regulator did not exist, and in a laboratory workshop where a pressure regulator is in all outputs.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.662
Threshold uncertainty score0.880

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.094
GPT teacher head0.289
Teacher spread0.194 · 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 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
Published2011
Admission routes1
Has abstractyes

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