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Multivariate Data Analysis for Process Monitoring

Date From: 24 January 2018
Location: Webinar
Description: Multivariate Analysis (MVA) can be applied to R&D and manufacturing-based data to tackle many different challenges and help meet objectives more effectively. This webinar covers the use of Multivariate Statistical Process Control for real-time process monitoring and sensor fusion models (IoT) following the process from the mixing of raw materials to the finished product. It will also briefly cover the use of multichannel spectrometers for direct quantitative prediction and give an introduction to batch modelling. Attendees will get an introduction to tools for Multivariate Analysis and various real-life applications will be shown.
Event Type: Webinar
Venue: Online

Time: 10:00-11:00 GMT
Organiser: Process Management & Control Special Interest Group

Book Event

Multivariate Analysis (MVA) can be applied to R&D and manufacturing-based data to tackle many different challenges and help meet objectives more effectively.
This webinar covers the use of Multivariate Statistical Process Control for real-time process monitoring and sensor fusion models (IoT) following the process from the mixing of raw materials to the finished product.
It will also briefly cover the use of multichannel spectrometers for direct quantitative prediction and give an introduction to batch modelling. Attendees will get an introduction to tools for Multivariate Analysis and various real-life applications will be shown.

The attendees will get an introduction to MVA and is aimed at people working with process development, trouble-shooting and quality control. The concept of multivariate calibration will be presented and various real-life applications will be shown.

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Speaker

Frank Westad, CAMO Software

Speaker's Biography

Frank Westad completed his Ph.D. thesis “Relevance and parsimony in multivariate modelling” in 2000. His working experience over the years includes positions as Research Scientist with SINTEF and Senior Research Scientist at the Norwegian Food Research Institute (MATFORSK) and GE Healthcare. His experience also includes teaching statistics and multivariate methods for the industry. He is also an adjunct professor at the Norwegian Technical University, Department of Engineering Cybernetics.

Format

A one-hour online session: Intro (5 Mins), Presentation (40 Mins), Q&A (15 Mins)

Software

The presentation will be delivered via GoToWebinar®. 
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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'll need to be a member of the Process Management & Control Special Interest Group.
Join the Process Management & Control Special Interest Group >>

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If you're interested in giving an online presentation to our international community of chemical engineers, we'd like to hear from you. Please email specialinterestgroups@icheme.org with information on yourself and your proposed talk.

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