Data Analytics in the process industry: What we can and can’t do.
Is the process data historian a data graveyard or a treasure trove? We increasingly use production data to improve the performance of the process. The effort requires a viable business case as well as data repositories that align well with emerging standards.
This presentation looks at the business case of data analytics and how to get from data to information in the times of AI. There are high expectations towards what we believe we can find in the data. But reality often puts a spanner in the works. This presentation highlights what is currently achievable and what requirements need to be met to really get insight into the data. One answer to this are emerging standards and data repositories.
This webinar is aimed at plant managers, process engineers, process control engineers, academics. Colleagues who look at data to improve process efficiency and performance will get a fresh update of what is currently possible and what needs to happen to get the maximum benefit from data analytics.
Margret Bauer, Professor, University of Applied Sciences HAW Hamburg and Lund University
Margret received her undergraduate degree in electrical engineering from the University of Erlangen-Nuremberg in 2001. She started her career in sales and marketing at Infineon Technologies in Munich and Stockholm before embarking on her PhD studies at the Centre of Process Systems Engineering (CPSE) under the guidance of Nina F. Thornhill in London, UK. Her work on data-driven analysis received the NAMUR award for the best PhD thesis in the process industries in 2007.
Margret has gained experience in industrial automation while working at the ABB Corporate Research Centre in Ladenburg, Germany, from 2007 to 2015 where she worked on advanced data analytics topics in the chemical, metals and minerals and mining industry. Before joining HAW Hamburg in May 2020 she was an Extraordinary Professor at the University of Pretoria, a position that she still holds. She currently is the Lise-Meitner Professor at the Department of Automatic Control at Lund University, Sweden.
The material presented in this webinar has not been peer-reviewed.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.
The presentation will be delivered via GoToWebinar®.
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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.