[en] A STUDY RELATED WITH THE ISOLATION CONDITION OF HIGHTENSION ROTATING ELECTRIAL MACHINES
Bibliographic record
Abstract
[pt] O Monitoramento do Sistema de Isolamento em Maquinas Eletricas de Alta Tensao representa um avanco no que diz respeito ao planejamento operacional de uma industria. Com posse de dados on-line referentes as condicoes apresentadas pelos isolamentos, as devidas precaucoes podem ser tomadas, evitando danos maiores. O trabalho apresentado tem como objetivo principal analisar um sistema de monitoramento desenvolvido pela CEA (Canadian Electrical Association), com suporte tecnico da Ontario Hydro. O sistema chamado PDA (Partial Discharge Analyzer) mede, atraves de acopladores permanentes ou portateis (capacitores), as Descargas Parciais nos enrolamentos estatoricos de grande maquinas de alta tensao. A quantificacao exata das Descargas Parciais sao indicadas das reais condicoes do isolamento. A analise do aparelho foi realizada em conjuncao aos dados obtidos, tendo como referencia a Companhia Siderurgica Nacional (CSN). A partir de tais dados, e possivel demostrar em que estagio atual de aproveitamento estamos em relacao a utilizacao de tal aparelho e quais sao os passos futuros para melhor compreensao das medidas.%%%%[en] The Monitoring of te Isolation System in High Tension Electrical Machines represents na advance in what concerns the operational planning of na industry. Knowing the on- line data referring to the conditions presented by the isolations, the necessary cautions can be taken, avoiding bigger damages. This work has as the main aim to analyze a monitoring system developed by the CEA (Canadian Electrical Association). The system is called PDA ( Partial Discharge Analyzer) and measures, through permanent or portable couplers (capacitors), the Partial Discharges is indicator of the isolation real conditions. The appliance analyses was made with the obtained data, having as reference the CSN. With this data, it is possible to show in what profiting stage of appliance and which are the future steps for a better comprehension of the measures.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".