Zobrazeno 1 - 9
of 9
pro vyhledávání: '"S. A. Samotylova"'
Publikováno v:
Applied Mathematics and Control Sciences. :89-108
Rectification and reactive distillation columns are the main of all units in the petrochemical and refining industry. Soft sensors consist of mathematical models that estimate of the quality of an output product in real time are used for technologica
Autor:
S. A. Samotylova, A. Yu. Torgashov
Publikováno v:
Theoretical Foundations of Chemical Engineering. 56:371-387
Publikováno v:
Вестник ДВО РАН. :48-52
Publikováno v:
Mathematical Models and Computer Simulations. 12:915-925
The problem of predictive modeling under condition of the nonlinearity of the mass−transfer plant (MTP) based on the experimental data is considered. To analyze the structural identifiability of the process under study and identify factors that aff
Autor:
S. A. Samotylova, A. Yu. Torgashov
Publikováno v:
Automation and Remote Control. 81:2132-2142
The paper discusses the development of a soft sensor (SS) for an MTBE plant in the cases when the training sample either is small or does not comprise the whole of quality range because of process plant non-stationarity as well as the difficulty and
Publikováno v:
Journal of Computer and Systems Sciences International. 58:637-647
The problem of estimating the model parameters for predicting a quality indicator for an output product of a reactive distillation process is considered. The feedback loop in the prediction error of the output variable is used in the mathematical mod
Publikováno v:
Automation and Remote Control. 78:724-731
Approach to the solution of a problem of structural and parametrical identification of models of the soft sensors (SS) of technological plants on the basis of robust regression and information criteria is proposed. The robust regression is used for m
Publikováno v:
Informatika i sistemy upravleniya. :55-61
Publikováno v:
2017 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM).
The paper deals with the task of estimating methanol concentration in the process of methyl-tert-butyl ether production by soft-sensor. A comparative analysis of the methods for determining of the main informative input sets for the soft-sensor model