Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Anselmo Chaves Neto"'
Autor:
Milena Arruda Silva, Leandro Canezin Guideli, Anselmo Chaves Neto, Larissa de Brum Passini, Alessander Christopher Morales Kormann
Publikováno v:
Transportes, Vol 28, Iss 3 (2020)
The incorporation of meteorological data in road accident research has been considered essential in studies that aim to analyze traffic crashes behavior. Thus, this paper intended to explore the relationship between the occurrence of traffic crashes
Externí odkaz:
https://doaj.org/article/3ec45bac801f473a9a63f092d3673048
Publikováno v:
GEPROS: Gestão da Produção, Operações e Sistemas, Vol 12, Iss 3, Pp 238-264 (2017)
The Brazilian oil industry has achieved high growth rates and in 2006, the country’s self-sufficiency in oil was announced. From 1991 to 2011, Petrobras’ reserves grew by 164%. In the same period, Brazil passed the oil law (Law No. 9478), establi
Externí odkaz:
https://doaj.org/article/bba1571b3fc44393aaa24ec773d8b823
Publikováno v:
Cadernos do IME: Série Estatística, Vol 40, Iss 1, Pp 01-18 (2017)
The evaluation of the responses of the structures of a dam is a complex problem that requires the use of reliable and effective methods. This study makes use of factor analysis, time series and control charts for the joint analysis of monitoring data
Externí odkaz:
https://doaj.org/article/ac4dcebfb4cd480fa0fcb92218f0f9e6
Autor:
Jairo Marlon Corrêa, Anselmo Chaves Neto, Luiz Albino Teixeira Júnior, Edgar Manuel Carreño, Álvaro Eduardo Faria
Publikováno v:
GEPROS: Gestão da Produção, Operações e Sistemas, Vol 11, Iss 1, Pp 79-96 (2016)
This paper proposes a linear combination of forecasts obtained from three forecasting methods (namely, ARIMA, Exponential Smoothing and Artificial Neural Networks) whose adaptive weights are determined via a multi-objective non-linear programming p
Externí odkaz:
https://doaj.org/article/010edddcccd84bfbac72d8db321c1768
Publikováno v:
Cadernos do IME: Série Estatística, Vol 41, Iss 0 (2017)
DOI: 10.12957/cadest.2016.27523 Este trabalho apresenta a influência do coeficiente de correlação em modelos de regressão. Para o desenvolvimento, utilizou-se o método Support Vector Regression (SVR) como modelo de regressão. O método SVR foi
Externí odkaz:
https://doaj.org/article/ef918004d7d144c0a845d5c1562b5e39
Publikováno v:
Shock and Vibration, Vol 2017 (2017)
Based on experimental pieces of evidence collected in a set of twenty healthy large hydrogenerators, this article shows that the operating conditions of the tilting pad journal bearings of these machines may have unpredictable and significant changes
Externí odkaz:
https://doaj.org/article/79da8cd65d274cf1ae5e29434348c4f2
Autor:
Geraldo Carvalho Brito Junior, Roberto Dalledone Machado, Anselmo Chaves Neto, Mateus Feiertag Martini
Publikováno v:
International Journal of Rotating Machinery, Vol 2017 (2017)
Based on experimental observations on a set of twenty 700 MW hydrogenerators, compiled from several technical reports issued over the last three decades and collected from the reprocessing of the vibration signals recorded during the last commissioni
Externí odkaz:
https://doaj.org/article/0b1cf0b479264053b8347a37ac2c8a62
Publikováno v:
International Journal of Rotating Machinery, Vol 2017 (2017)
Based on experimental evidence collected in a set of twenty 700 MW hydrogenerators, this article shows that the operating conditions of large hydrogenerators journal bearings may have unpredictable and significant changes, without apparent reasons. T
Externí odkaz:
https://doaj.org/article/80babf2718cf448db83e6c20b5e7a8dc
Publikováno v:
Revista Produção Online, Vol 12, Iss 4, Pp 1002-1030 (2012)
Starting from fundamental variables, this research aims to construct unobservable factors to explain the most part of the accounting data’s variability of listed companies on Bovespa. So, it was applied the multivariate statistical technique factor
Externí odkaz:
https://doaj.org/article/af9d45da6ad4428db6a737b0fb4ec83d
Autor:
Emerson Lazzarotto, Liliana Madalena Gramani, Anselmo Chaves Neto, Luiz Albino Teixeira Junior, Edgar Manuel Carreno Franco
Publikováno v:
Cadernos do IME: Série Estatística, Vol 38, Iss 0 (2015)
DOI: 10.12957/cadest.2015.18510ResumoBarragens de usinas hidrelétricas são avaliadas por inspeções visuais e por instrumentos de monitoramento. As leituras periódicas de um instrumento podem ser interpretadas como uma série temporal estocástic
Externí odkaz:
https://doaj.org/article/ccebe4ddfe3441a781b90a3a872e8b89