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Record W2124854441 · doi:10.1109/acc.2006.1657340

A magnetic flux-based position sensor for control of an electromechanical VVT actuator

2006· article· en· W2124854441 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectrical Contact Performance and Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsActuatorArmature (electrical engineering)SolenoidMagnetic fluxAutomotive industryControl theory (sociology)Solenoid valveAutomotive engineeringControl engineeringEngineeringMechanical engineeringComputer scienceMagnetControl (management)Electrical engineeringMagnetic fieldPhysicsAerospace engineering

Abstract

fetched live from OpenAlex

A promising method for enhancing automotive internal combustion engine efficiency uses solenoid actuators to directly control gas exchange valves. Mitigation of valve seating velocities is challenging due to phenomena such as magnetic saturation and pressure disturbances. Production implementation of an electromagnetic valvetrain will require the development of cost effective yet accurate sensors for robust feedback control. A method of magnetic flux-based armature position measurement is presented. An overview of the modeling and control design is shown with experimental and simulated results using such a sensor configuration

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score0.342

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 head0.003
GPT teacher head0.187
Teacher spread0.184 · 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