Overview

This webinar introduces advanced data analytics and how it can be applied in real-time process monitoring. The methodology applies to continuous and batch processes. Regarding batch processes, however, a challenge is to handle processes with both dynamic and steady-state phases. It will be shown how to combine dynamic and steady-state phases in a batch modelling project.

Speaker

Lennart Eriksson, Principal Data Scientist, Sartorius Digital Solutions

Lennart is a senior lecturer and principal data scientist and has worked with advanced data analytics for over three decades. Currently, he holds a position within the Digital Solutions team of Sartorius. His responsibilities relate to training, webinars, eLearning and other marketing communications.

Lennart has a PhD in chemometrics and holds an associate professorship in chemometrics at Umeå University. He has authored and co-authored over 100 publications on the applicability of design of experiments and multivariate data analysis in research, development and production. Lennart is a member of the editorial board of Journal of Chemometrics.

The material presented in this webinar has not been peer-reviewed. Any opinions are the presenter's own and do not necessarily represent those of IChemE or the Process Management and Control Special Interest Group. The information is given in good faith but without any liability on the part of IChemE.

Time

10:00–11:00 BST.

Software

The presentation will be delivered via GoToWebinar®. Check system requirements.

You are advised to join the webinar at least ten minutes before the scheduled start time, to allow for your computer to connect.

Webinar archive

This webinar is free of charge and open to all to attend, but if you wish to access the slides and a recording to replay on demand then you will need to be a member of the Process Management and Control Special Interest Group.