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Record W4226109391 · doi:10.36227/techrxiv.19524217.v1

Design of a CT-Based Energy Harvesting Circuit for Three-Phase AC Motors

2022· preprint· en· W4226109391 on OpenAlexaff
Hussin Hassen, Eliseu Marcos, Abgar Lagin

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicInnovative Energy Harvesting Technologies
Canadian institutionsHumber Polytechnic
Fundersnot available
KeywordsBackupElectrical engineeringCurrent transformerTransformerVoltageThree-phaseEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

This paper presents a current-transformer (CT) based energy harvesting circuit which powers a sensor board used for three-phase AC motors. The design is based on a Texas Instruments reference design with some modifications to suit the customer’s requirement. In this design, three-phase current transformers with delta-connected secondary coils are used to harvest energy from the magnetic field surrounding the input line currents. A backup battery is used for cold starting the circuit as well as to provide power backup when there is not enough energy harvested by the current transformers. The practical test results match the simulated test results where the energy harvesting board was able to harvest 5V/1.75W from three phase 10A input line currents or from 0.85A line currents with 12 primary turns on the current transformers

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

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)0.0040.001

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 head0.076
GPT teacher head0.277
Teacher spread0.201 · 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 source (direct Gemma or distilled Codex), 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
Published2022
Admission routes1
Has abstractyes

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