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Record W4389127232 · doi:10.5151/2594-5327-15346

DETECÇÃO DE FALHAS EM MOTORES TRIFÁSICOS COM TECNOLOGIA MCM NA ARCELOR-MITTAL INÓX BRASIL

2009· article· pt· W4389127232 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

VenueABM Proceedings · 2009
Typearticle
Languagept
FieldEngineering
TopicFault Detection and Control Systems
Canadian institutionsMitel (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

PDF | O método de Detecção de Falhas em motores elétricos trifásicos, com tecnologia MCM (Motor Condition Monitor), baseia-se no o conceito de modelamento matemático, para diagnosticar com antecedência as degradações progressivas de natureza elétrica ou mecânica do sistema monitorado. As variações ocorridas no sistema, seja proveniente do processo ou por degradação, são perceptíveis quando analisadas no domínio da freqüência. A detecção de falha progressiva é realizada comparando os sinais de tensões e correntes medidos no processo com os registros do modelo matemático. A eficiência do equipamento foi avaliada utilizando o motor do exaustor de gás da regeneração de ácido. Este trabalho teve como suporte os testes de avaliação realizada pela Gerência de Área de Engenharia de Manutenção (PICE) e a Gerência de Área de Manutenção de Utilidades (PEUM) da ARCELOR- MITTAL Inóx Brasil.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.598
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.011
GPT teacher head0.228
Teacher spread0.217 · 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