ANN-based soft-sensor for real-time process monitoring and control of an industrial polymerization process

Computers and Chemical Engineering

Volumn 33, Issue 1, 2009, Pages 43-49

  Gonzaga, J C B ^a   Meleiro, L A C ^b   Kiang, C ^a   Maciel Filho, R ^c  

^a M and G Fibras e Resinas   (Brazil)

^b FEDERAL RURAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^c UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

Artificial neural networks; Distributed control system; Polyethylene terephthalate; Polymerization process; Process control; Soft sensor

Indexed keywords

BACKPROPAGATION; CHEMICAL REACTIONS; CONTROL SYSTEMS; CONTROL THEORY; DISTRIBUTED PARAMETER CONTROL SYSTEMS; FREE RADICAL POLYMERIZATION; HYDRODYNAMICS; INDUSTRIAL PLANTS; MONOMERS; NEURAL NETWORKS; POLYESTERS; POLYETHYLENE TEREPHTHALATES; POLYMERIZATION; POLYMERS; POSITRON EMISSION TOMOGRAPHY; PROCESS ENGINEERING; PROCESS MONITORING; QUALITY CONTROL; SENSOR NETWORKS; SENSORS; THERMOPLASTICS; VEGETATION; VISCOSITY;

ARTIFICIAL NEURAL NETWORKS; CONTROL PURPOSES; DISTRIBUTED CONTROL SYSTEM; INDUSTRIAL IMPLEMENTATIONS; POLYMER VISCOSITIES; POLYMERIZATION PROCESS; POLYMERIZATION PROCESSES; PRODUCTION PROCESSES; SOFT SENSORS; SOFT-SENSOR; TIME PROCESSES; VIRTUAL SENSORS;

PROCESS CONTROL;

EID: 57049112694     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2008.05.019     Document Type: Article

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