MétaCan
Menu
Back to cohort
Record W4232740745 · doi:10.1109/pica.1991.160653

A multiprocessor digital signal processing system for real-time power converter applications

2002· article· en· W4232740745 on OpenAlexafffund
Yunlong Guo, H.C. Lee, Xiaoming Wang, B.T. Ooi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsConvertersMultiprocessingPulse-width modulationComputer scienceDigital signal processingDigital controlDigital signal processorDigital signalElectronic engineeringControl systemSignal processingSIGNAL (programming language)Power (physics)Computer hardwareEmbedded systemVoltageElectrical engineeringEngineeringParallel computing

Abstract

fetched live from OpenAlex

The design of a multiprocessor digital signal processing system for applications in power converters such as those that would be used in the next generation of high-voltage DC (HVDC) and static VAr compensator (SVC) systems is described. The system incorporates three high-speed digital signal processors operating independently in parallel, but communicating with one another. The fully programmable system is a powerful device which can implement sophisticated control algorithms in real time for converters. A prototype operating at a clock frequency of 40 MHz has been built for testing and evaluation of control strategies with a laboratory model of an experimental HVDC system based on pulsewidth modulation (PWM). The results from an application demonstrate that the design is well suited for real-time digital control of converters and the system is a useful tool for research and development.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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 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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.994
Threshold uncertainty score0.726

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)0.0000.001

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 head0.012
GPT teacher head0.197
Teacher spread0.186 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations1
Published2002
Admission routes2
Has abstractyes

Explore more

Same topicMultilevel Inverters and ConvertersFrench-language works237,207