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Record W2169382563 · doi:10.1109/ias.1988.25166

An on-line PC-based converter PWM modulator

2003· article· en· W2169382563 on OpenAlexaff
D. Vincenti, P.D. Ziogas, Rajni V. Patel

Bibliographic record

VenueConference Record of the 1988 IEEE Industry Applications Society Annual Meeting · 2003
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsConcordia University
Fundersnot available
KeywordsPulse-width modulationWaveformComputer scienceConvertersVoltageElectronic engineeringPower (physics)Modulation (music)Electrical engineeringEngineeringPhysics

Abstract

fetched live from OpenAlex

Developments in power control techniques for pulsewidth-modulated (PWM) inverters are often ignored because of lack of time for adequate testing and evaluation. The programmable PC-based PWM described is designed to alleviate this problem. The modulator is capable of generating, in ready-to-use form, gating signals for any type of PWM scheme and most types of converters. It can also generate and display associated converter-output voltage and current waveforms and their respective frequency spectra for further evaluation of selected PWM schemes. Therefore, tasks such as the selection of optimum PWM strategies, switching frequencies, and voltage/frequency curves (for variable-speed AC drives) are easier to perform. Moreover, the proposed research and development tool differs from similar devices in that it is user-friendly, multipurpose, and versatile. Selected performance features of the developed prototype are demonstrated by presenting the associated experimental waveforms.>

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.046

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 communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.003

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 head0.034
GPT teacher head0.262
Teacher spread0.227 · 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

Citations3
Published2003
Admission routes1
Has abstractyes

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