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Record W2047342870 · doi:10.1109/pesafr.2007.4498051

Comparison of Standards for Determining Losses and Efficiency of Three-Phase Induction Motors

2007· article· en· W2047342870 on OpenAlexaboutno aff
H. M. Mzungu, A.B. Sebitosi, Azeem Khan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsInduction motorHarmonicsEfficient energy useReliability engineeringEnergy consumptionAutomotive engineeringComputer scienceEngineeringElectrical engineeringVoltage

Abstract

fetched live from OpenAlex

The efficiency of induction motors has emerged as having the biggest potential in saving energy consumption. This is important to South Africa where energy saving has risen as a major concern. This paper looks at the different motor efficiency standards that are available and attempts to compare them. The paper discusses results obtained from tests done on a 3kW high efficient motor. Three standards used were the CSA-390 a Canadian standard, IEEE 112 an American standard and the new European standard, the IEC 61971. Results show that the IEEE and CSA-390 produce higher efficiencies than the IEC standards. The reasons for this are discussed. The effects of equipment accuracy and supply harmonics are discussed in brief. A suggestion for a South African Standard with aspects drawn from the standards is put down as the present SANS IEC 60034-2 (1972) is outdated.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.682
Threshold uncertainty score0.214

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)0.0000.000

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 head0.029
GPT teacher head0.330
Teacher spread0.301 · 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 designBench or experimental
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

Citations21
Published2007
Admission routes1
Has abstractyes

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