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Record W4405953684 · doi:10.1016/j.measen.2024.101598

Design of a low-cost system for the high-frequency measurement of the radial displacements of a cylindrical metal target

2024· article· en· W4405953684 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMeasurement Sensors · 2024
Typearticle
Languageen
FieldEngineering
TopicNon-Destructive Testing Techniques
Canadian institutionsSurgical Specialties (Canada)
Fundersnot available
KeywordsMaterials scienceAcousticsPhysics

Abstract

fetched live from OpenAlex

This study introduces a cost-effective system designed to measure the high-frequency radial displacements of cylindrical metal targets. Traditional methods often use capacitance or inductive sensors; however, this research presents a novel application of inductive sensors exploiting flexible planar coils placed on curved surfaces and combined with low-cost inductance-to-digital converters (LDCs). This solution allows for high sampling rates and submicrometric resolution, making it suitable for applications requiring accurate radial displacement vibration monitoring (e.g., milling operations). The experimental setup, including custom planar coils and a dedicated test bench, was implemented to measure radial displacement in the plane perpendicular to the cylinder's axis and validated the system's accuracy and effectiveness. Future works will optimize the calibration process and explore dual-parameter measurement to enhance accuracy.

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.

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)0.003
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.792
Threshold uncertainty score0.701

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.049
GPT teacher head0.241
Teacher spread0.192 · 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