Advanced statistical tools for process control and monitoring

The monitoring system of a process often makes a large amount of information available, both because numerous sensors can be used and because of sensors that make a lot of information available, such as for example thermographies, images, spectroscopic analyses. In this research activity we investigate the application of PCA-PLS methods for in-line and off-line monitoring of a process, both developing software sensors and statistical process controllers to identify out-of-specification (control charts). The methodologies investigated range from NIR & Raman spectroscopy, to image analysis, including thermographic ones, to the combination of various sensors available for process monitoring.

ERC sectors

  • PE1_19 Control theory and optimisation
  • PE8_2 Ingegneria chimica
  • PE8_9 Ingegneria dei processi

Keywords

  • PCA
  • PLS
  • Soft sensor
  • Multivariate control
  • Image analysis