A new strategy to realize an FPGA implementation of a soft sensor for an industrial process is proposed. The proposed approach is based on the integration on Field Programmable Gate Array (FPGA) of a neural networks. The proposed method has been applied to develop a soft sensor for the estimation of the freezing point of kerosene in an atmospheric distillation unit (topping) working in a refinery in Sicily, Italy

FPGA based soft sensor for the estimation of the kerosene freezing point

Caponetto R.;XIBILIA, Maria Gabriella
2009-01-01

Abstract

A new strategy to realize an FPGA implementation of a soft sensor for an industrial process is proposed. The proposed approach is based on the integration on Field Programmable Gate Array (FPGA) of a neural networks. The proposed method has been applied to develop a soft sensor for the estimation of the freezing point of kerosene in an atmospheric distillation unit (topping) working in a refinery in Sicily, Italy
2009
9781424441105
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/1887240
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