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Record W4313555086 · doi:10.1109/tia.2023.3234518

Survivability-Based Protection for Electric Motor Drive Systems-Part II: Three Phase Permanent Magnet Synchronous Motor Drives

2023· article· en· W4313555086 on OpenAlexaff
S. A. Saleh, E. Ozkop, Babak Nahid‐Mobarakeh, A. Rubaai, Kashem M. Muttaqi, Subarni Pradhan

Bibliographic record

VenueIEEE Transactions on Industry Applications · 2023
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsMcMaster UniversityUniversity of New Brunswick
Fundersnot available
KeywordsSurvivabilitySynchronous motorInduction motorComputer scienceMagnetAC motorElectric motorControl theory (sociology)Electrical engineeringEngineeringVoltageArtificial intelligenceControl (management)Computer network

Abstract

fetched live from OpenAlex

This paper develops a survivability-based protection for three phase permanent magnet synchronous motor drives against severe dynamic events. The proposed protection is based on defining a survivability index <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\Gamma _{\text{PMSM}}$</tex-math></inline-formula> that is expressed in terms of power changes resulting from a dynamic event, which is experienced by the protected motor drive. The index <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\Gamma _{\text{PMSM}}$</tex-math></inline-formula> establishes an accurate measure to detect, identify, and respond to dynamic events that a three phase permanent magnet synchronous motor drive may not survive. The validity, effectiveness, and accuracy of the survivability-based protection for three phase permanent magnet synchronous motor drives are assessed through simulation and experimental testing. Assessment tests are carried out using a 10 hp laboratory three phase permanent magnet synchronous motor drive under various dynamic events. Assessment results demonstrate the efficacy and responsiveness of the survivability-based protection to unsurvivable dynamic events, and its ability to prevent damage to different components of a three phase permanent magnet synchronous motor drive.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.916
Threshold uncertainty score1.000

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 studies0.0010.000
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 head0.027
GPT teacher head0.252
Teacher spread0.224 · 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.

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

Citations33
Published2023
Admission routes1
Has abstractyes

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