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Record W2166230168 · doi:10.1109/cjece.2008.4721624

A new design tool to protect industrial long-cable PWM ASD systems against high-frequency overvoltage problems

2008· article· en· W2166230168 on OpenAlexafffundvenue
Saïd Amarir, Kamal Al‐Haddad

Bibliographic record

VenueCanadian Journal of Electrical and Computer Engineering · 2008
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Compatibility and Noise Suppression
Canadian institutionsÉcole de Technologie Supérieure
FundersCanada Research Chairs
KeywordsOvervoltageShielded cableMATLABTransient (computer programming)Frequency domainEngineeringTime domainAdjustable-speed driveInverterVoltageControl theory (sociology)Computer scienceElectronic engineeringElectrical engineeringControl (management)

Abstract

fetched live from OpenAlex

This work presents a new tool for use in the design of long-cable adjustable-speed drive (ASD) systems. It allows coordination between the inverter, the motor and the cable type and length in order to protect the motor against overvoltages due to the reflected wave. Detailed mathematical formulas describing the transient voltage and current along the cable are first developed in the frequency domain. Then, by applying the boundary conditions at the cable ends and assuming a lossless cable, delay equations are developed in the time domain. Using these equations, an appropriate simulation scheme is built with the SimPowerSystems (SPS) and Simulink modules of the MATLAB software environment to compute the high-frequency overvoltages (and their associated currents) at the ends of the feeding cable. The proposed tool has been applied to a 5 kVA industrial ASD prototype using a four-wire shielded long cable. The paper includes simulation results and experimental validations.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.414
Threshold uncertainty score0.911

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.016
GPT teacher head0.161
Teacher spread0.145 · 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

Citations4
Published2008
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Electrical and Computer EngineeringSame topicElectromagnetic Compatibility and Noise SuppressionFrench-language works237,207