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Understanding chemical production processes by using PLS path model parameters as soft sensors.

Geert H. van KollenburgJacoline van EsJan GerretzenHeleen LantersRoel BoumanWillem KoelewijnAnthony N. DaviesLutgarde M. C. BuydensHenk-Jan van ManenJeroen J. Jansen
Published in: Comput. Chem. Eng. (2020)
Keyphrases
  • production processes
  • production process
  • real time
  • sensor data
  • partial least squares
  • sensor networks
  • shortest path
  • data fusion
  • sensor fusion
  • neural network
  • data acquisition
  • constraint satisfaction
  • molecular level