MétaCan
Menu
Back to cohort
Record W4251169761 · doi:10.1109/epc.2007.4520365

Influence of overvoltages in induction motors fed by PWM voltage inverters on power efficiency

2007· article· en· W4251169761 on OpenAlexaff
Boukhemis Chetate, Mohand Tahar Belassel, Stéphane Simard, Rachid Beguenane

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Power Systems and Control
Canadian institutionsUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsPulse-width modulationOvervoltageInduction motorConvertersVoltagePower (physics)Electrical engineeringEngineeringPower electronicsComputer scienceElectronic engineeringControl theory (sociology)Control (management)Physics

Abstract

fetched live from OpenAlex

Autonomous converters of the PWM type are widely used in electric drive systems, which currently constitute the main source of mechanical energy in industry. The study of oscillatory processes in motor-converter systems recently became a concern because of the problems arising from the switching of modern semiconductor devices, and their influence on the insulation of electric machines. As overvoltages in electric machines fed by a PWM converter are dangerous for their insulation, appropriate protections should be implemented. The goals of this work are the calculation of the oscillatory parameters of an AC induction motor, the development of the mathematical models for the calculation of overvoltages in any point of the winding, and the design of validation tests. We hint to solutions to minimize overvoltages and compensate for their effects, including advanced digital control strategies on FPGA chips.

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)0.001
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.186
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

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
Published2007
Admission routes1
Has abstractyes

Explore more

Same topicElectric Power Systems and ControlFrench-language works237,207