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, ItalyFile in questo prodotto:
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