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Record W3143498496

An Analytical Method to Calculate Critical Clearance Time of Symmetrical Voltage Sags for Induction Motors

2014· article· en· W3143498496 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePower System Technology · 2014
Typearticle
Languageen
FieldEnergy
TopicPower Systems and Renewable Energy
Canadian institutionsCarleton University
Fundersnot available
KeywordsInduction motorControl theory (sociology)TorqueVoltageSlip (aerodynamics)EngineeringTransient (computer programming)Computer sciencePhysicsElectrical engineering
DOInot available

Abstract

fetched live from OpenAlex

In allusion to induction motor stalling due to protection actions easily triggered by voltage sags,an analytical algorithm to fast calculate the critical clearance time of symmetrical voltage sags for induction motors is proposed.Based on the concept of intersection points of stable equilibrium and unstable equilibrium between electromagnetic torque-slip curve and mechanical torque-slip curve of induction motor and the steady state equivalent circuit of induction motor,the first-order differential motion equation of the motor is turn into an analytical time-slip function.Besides,an algorithm to judge whether the symmetrical voltage sag is absolutely safe is put forward.The effectiveness of the proposed method is validated by the results of electromagnetic transient simulations.The proposed analytical algorithm contributes to implement the intelligent protection for induction motors and decrease the probability of unnecessary stalling of induction motors.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.937
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.010
GPT teacher head0.295
Teacher spread0.285 · 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