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http://www.repositorio.cdtn.br:8080/jspui/handle/123456789/434| Title: | Neural network correlation for power peak factor estimation |
| Title of periodic: | Annals of Nuclear Energy Oxford |
| Authors: | Souza, Rose Mary Gomes do Prado Moreira, J.M.L. |
| Affiliation: | Centro de Desenvolvimento da Tecnologia Nuclear/CDTN, Belo Horizonte, MG, Brasil Centro Tecnológico da Marinha em São Paulo/CTMSP, São Paulo, SP, Brasil |
| Issue Date: | 2006 |
| Keywords: | Reactor protection systems;neural networks;power density |
| Abstract: | This paper proposes a method, based on the artificial neural network technique, to predict accurately and in real time the power peak factor in a form that can be implemented in reactor protection systems. The neural network inputs are the position of control rods and signals of ex-core detectors. The data used to train the networks were obtained in the IPEN/MB-01 zero-power reactor from especially designed experiments. |
| Access: | L |
| Appears in Collections: | Artigo de periódico |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Art-01_Rose_Mary_GPSouza.pdf | 536.69 kB | Adobe PDF | View/Open |
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