Technological Monitoring in the Management of the Distillation-Rectification Plant
Vasii Kyshenko , Igor Korobiichuk , Katarzyna Rzeplińska-Rykała
AbstractThe analysis of time series of the process variables was conducted by methods of nonlinear dynamics, which allowed to determine the randomness values that are based on the depth of an object prediction. The filtering of the time series was obtained experimentally, using wavelet analysis. Defined the fractal properties of chaotic information flow, correlation dimension and the Hurst parameter were defined. The intensity of the impact of a technological parameter value on the process using Kohonen maps was identified.
|Publication size in sheets||0.5|
|Book||Szewczyk Roman, Zieliński Cezary, Kaliczyńska Małgorzata (eds.): Automation 2019: Progress in Automation, Robotics and Measurement Techniques, Advances in Intelligent Systems and Computing, vol. 920, 2020, Springer, ISBN 978-3-030-13272-9, [978-3-030-13273-6], 727 p., DOI:10.1007/978-3-030-13273-6|
|Keywords in English||monitoring, distillation-ractification facility, data mining, wavelet analysis, neural networks, uncertainty|
|Score||= 20.0, 10-01-2020, ChapterFromConference|
|Publication indicators||= 1|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.