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Record W4407892014 · doi:10.18280/jesa.580108

Studying the Effect of Voltage Unbalance on the Working Characteristics of LSPMSM

2025· article· fr· W4407892014 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal Européen des Systèmes Automatisés · 2025
Typearticle
Languagefr
FieldEngineering
TopicElectric Power Systems and Control
Canadian institutionsnot available
Fundersnot available
KeywordsVoltageMaterials scienceElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

With the development of NdFeB rare earth magnet materials, the line-start permanent magnet synchronous motor (LSPMSM) is considered as a alternative method to induction motors for energy savings.During operation, the parameters of LSPMSM are highly susceptible to power quality, particularly the effects of voltage unbalance (VU).This paper focuses on studying the impact of magnitude and phase angle unbalance of the voltage on the operating parameters of a 15 kW, 3000 rpm LSPMSM.The research results indicate that the speed and torque characteristics of the motor are significantly affected by voltage magnitude and phase angle unbalance.However, the current characteristics are largely influenced by voltage magnitude unbalance.Additionally, the power factor cos and the efficiency of the motor deteriorate as the degree of unbalance increases.The paper employs Ansys/Maxwell simulation software to study and evaluate the experimental model.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.937
Threshold uncertainty score0.897

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.010
GPT teacher head0.226
Teacher spread0.216 · 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