Improving Continuous Process Operation Using Data Analytics

At Emerson Exchange, 2011, I had the pleasure of working with Frank Seibert, Technical Manager and Eric Chen, Associate Researcher, Pickle Research Center, University of Texas at Austin SRP and John Caldwell, Advanced Control Marketing Manage, and Willy Wojsznis, Senior Technologist, Emerson Process Management, to host a workshop that addresses how data analytics may be applied in a continuous process for fault detection and quality parameter prediction.

When quality parameters are only available through lab measurements then changes in final product quality may go undetected until a lab sample is taken. Continuous data analytics tool provided on-line prediction of quality parameters and fault detection. Field trial results from a carbon dioxide absorption/stripping process at the UT/Austin Separations Research Program are presented in this workshop.

If you are interested in learning more about these topics, then the viewer below may be used to access the workshop presentation given on Wednesday, October 25. This presentation is around 40 minutes in length.

Also, the viewer controls may be used to download the power point file used in this presentation.