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Dynamically Slided Chemometric Models for Robust On-line Prediction of Cloud Point in Melamine Resin Production

  • Carlos Cernuda (Vortragende*r)

Aktivität: Vortrag oder PräsentationPosterpräsentationunbekannt

Beschreibung

In the considered batch process of melamine resin production, the essential process parameter to be regularly supervised is the cloud point. Monitoring the value of that parameter indicates the best point of time to turn off heating in order to stop the condensation and is of utmost importance to assure high product quality. Currently, the cloud point is measured manually, which takes high efforts for the operators: walking to the basin, drawing the probes and analyzing them. To automatize the supervision of the cloud point a FT-NIR spectrometer has been installed by RECENDT GmbH, whose optics contains a monolithic Michelson interferometer, which helps with temperature stability and expands the spectral range from 4000cm-1 to 10000cm-1 Standard linear calibration models, in particular PLS [1][2], have been extracted from an initial calibration set and applied onto a further separate on-line test set, both drawn over a time frame of about 6 months from the process. However, they did not lead to satisfactory results, especially in case of lamp changes and intensity downtrends of the halogen light source, a dynamics which cannot be fully controlled by static models. Furthermore, some internal dynamics such as changing compositions of the educt etc. are assumed.
Zeitraum15 Sep. 2015
EreignistitelConferentia Chemometrica 2015
VeranstaltungstypKonferenz
OrtUngarnAuf Karte anzeigen

Wissenschaftszweige

  • 101013 Mathematische Logik
  • 101024 Wahrscheinlichkeitstheorie
  • 202027 Mechatronik
  • 102019 Machine Learning
  • 603109 Logik
  • 101 Mathematik
  • 102001 Artificial Intelligence
  • 102003 Bildverarbeitung

JKU-Schwerpunkte

  • Computation in Informatics and Mathematics
  • Nano-, Bio- and Polymer-Systems: From Structure to Function
  • Mechatronics and Information Processing