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Record W2069696913 · doi:10.1109/autest.2010.5613609

A current-controlled variable inductor

2010· article· en· W2069696913 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
FieldComputer Science
TopicSensor Technology and Measurement Systems
Canadian institutionsWestern University
Fundersnot available
KeywordsInductorInductanceVariable (mathematics)ElectronicsElectronic engineeringEngineeringComputer scienceElectrical engineeringVoltageMathematics

Abstract

fetched live from OpenAlex

Our development of an Automated Test System (ATS) for Proximity Sensor Electronic Units (PSEUs) in the aircraft industry required the implementation of a variable inductor. The variable inductor simulates inductive proximity sensors so the ATS can measure and verify the switch points of the electronics as the sensors move between their near and far states. Though developed for PSEU testing, the presented methodology and technology may be applied to other test equipment and applications that require a variable inductor. The paper begins by looking at different techniques for implementing a variable inductor: moving cores, switched decade boxes, gyrator circuitry and saturable core reactors. The paper presents the pros and cons of the different technologies and then focuses on the development of a saturable core reactor as the chosen technology. The paper presents fundamental formulae used during the development of the variable inductor and test results for a number of developed prototypes. The presentation includes the development of a highly-accurate control loop to precisely hold the value of the controlled inductance. Finally, the paper concludes with a brief discussion of the ATS that ultimately housed the variable inductor.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.689
Threshold uncertainty score0.305

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 science0.0010.000
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 head0.020
GPT teacher head0.244
Teacher spread0.224 · 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