IRACI MARTINEZ PEREIRA GONCALVES
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Artigo IPEN-doc 12186 Time response measurements of angra I nuclear power plant using direct and indirect methodologies2007 - GONCALVES, IRACI M. P.; SANTOS, ROBERTO C. dos; LOPES, WAGNER J. dos R.; NAPOLITANO, OLIVIO da C.Estimation of sensor response characteristics is necessary to satisfy requirements on allowable response time for nuclear power plants. The methodology currently used includes direct and indirect measurements each of them having its vantages and disadvantages. The objective of this work is to compare the time response measurements of temperature and pressure sensors of the Brazilian Angra I nuclear power plant obtained using direct and indirect methodologies. Direct methods give more precise results, but need special equipments do be carried out and interfere with the reactor operation. Indirect methodology is most practical of being performed; it does not interfere with the reactor operation because the sensors do not have to be out of operation. On the other hand, since the parameter identification depends on the noise characteristics, there are cases where indirect methodology is not suitable to predict time response.Artigo IPEN-doc 10731 A theoretical model for the IPEN Research Reactor IEA-R12005 - GONCALVES, I.M.P.; TING, D.K.S.Artigo IPEN-doc 10734 Development of an artificial neural network for nuclear power monitoring and fault detection in the IEA-R1 research reactor at IPEN2005 - BUENO, E.I.; TING, D.K.S.; GONCALVES, I.M.P.Artigo IPEN-doc 08797 Sistema de aquisicao de dados do reator IEA-R12002 - MONTEIRO, P.R.B.; GONCALVES, I.M.P.Artigo IPEN-doc 15306 Time response of temperature sensors using neural networks2009 - SANTOS, ROBERTO C. dos; PEREIRA, IRACI M.Artigo IPEN-doc 15304 GMDH and neural networks applied in temperature sensors monitoring2009 - BUENO, ELAINE I.; PEREIRA, IRACI M.; TEIXEIRA e SILVA, ANTONIOArtigo IPEN-doc 09273 Brazilian experimental reactor monitoring using data-driven modeling techniques2002 - GONCALVES, I.M.P.; TING, D.K.S.; UPADHYAYA, B.R.Artigo IPEN-doc 11925 Development of an artificial neural network for monitoring and diagnosis of sensor fault and detection in the IEA-R1 research reactor at IPEN2007 - BUENO, ELAINE I.; TING, DANIEL K.S.; GONCALVES, IRACI M. P.Artigo IPEN-doc 07636 Response time measurement of temperature and pressure sensors of Angra-I nuclear power plant using noise analysis technique2001 - PERILLO, S.R.P.; GONCALVES, I.M.P.; SANTOS, R.C.; TING, D.K.S.Artigo IPEN-doc 07637 Multiple fault detection and isolation using GMDH model2001 - GONCALVES, I.M.P.; UPADHYAYA, B.R.