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Record W2363758887

Development of Stress-Strain Measurement Instrument for Trencher Guide Bar

2013· article· en· W2363758887 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

VenueJournal of Qingdao University of Science and Technology · 2013
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor and Control Systems
Canadian institutionsCentre For Cold Ocean Resources Engineering
Fundersnot available
KeywordsStrain gaugeBar (unit)SoftwareDifferential amplifierInstrumentation (computer programming)AmplifierStress (linguistics)Instrumentation amplifierMeasuring principleMeasuring instrumentEngineeringElectronic engineeringComputer scienceElectrical engineeringOpticsPhysics
DOInot available

Abstract

fetched live from OpenAlex

In order to ensure the safe operation of trencher along the seabed pipeline,the stress-strain measuring instrument used in the trencher guide bar was developed.According to the characteristics of the guide bar,the high precision strain measurement circuit and special measurement and control software with the function of differential input and two stage amplifier-filtering were designed,and the real-time monitoring of guide bar stress-strain was realized.In the aspect of hardware design,the detection principle of the electric resistance strain gauge measuring method was analyzed,the weak signal differential input was realized by high precision instrumentation amplifier AD620and the design method of two second-order active filter amplifier circuit was introduced.In the aspect of software design,the measurement and control software of stress-strain instrument was developed based on virtual instrument software LabVIEW.Experimental test results show that this stress-strain instrument can meet the demand of high precision design requirements.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.199

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 studies0.0000.000
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 head0.016
GPT teacher head0.193
Teacher spread0.176 · 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