Nuclear power plant monitoring using data-driven modeling techniques
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2001
Autores IPEN
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MAITENANCE AND RELIABILITY CONFERENCE
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Resumo
This paper presents a monitoring algorithm using the Group Method for Data Handling (GMDH) that
creates algebraic models for system characterization. The monitoring system was applied to the IEA-R1
experimental reactor at IPEN, Brazil. The IEA-RI is a 5 MW pool-type research reactor that uses light
water as coolant and moderator, and graphite as reflector. The GMDH provides a general framework for
characterizing the relationship among a set of state variables of a process and is used for generating
estimates of critical variables in an optimal data-driven model form. The monitoring system developed in
this work was used to predict the IEA-R1 reactor hall dose rate, based on nuclear power and rod position
variables. The results obtained using the GMDH models agreed very well with the dose rates
measurements.
Como referenciar
GONCALVES, I.M.P.; TING, D.K.S.; UPADHYAYA, B.R. Nuclear power plant monitoring using data-driven modeling techniques. In: MAITENANCE AND RELIABILITY CONFERENCE, May 6-9, 2001, Gatlinburg, TN, USA. Disponível em: http://repositorio.ipen.br/handle/123456789/15288. Acesso em: 26 Mar 2026.
Esta referência é gerada automaticamente de acordo com as normas do estilo IPEN/SP (ABNT NBR 6023) e recomenda-se uma verificação final e ajustes caso necessário.