engleski

Product Quality Estimation and Control Using Soft Sensors

Law regulations dictate firm restrictions of product quality specifications and refinery emissions. Measurement of great number of process variables and instaling new expensive process analyzers is necessary for efficient process control. Possible solution of this problem is application of soft-sensors i.e. the process model that is used for variable estimations which are not measured in continuous manner. This paper demonstrates soft-sensor design for product quality monitoring and process control of debutanizer column . Neural network model is developed based on available process measurement with the purpose of product quality monitoring and process control enhancement.

soft sensor; identification; neural network; inferential control

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