2017 Annual Meeting

Session: Advances in Data Analysis, Information Management, and Intelligent Systems II

Advanced sensing technologies have increased the amount and variety of data available for monitoring chemical processes. This session is focused showing the development of new data analysis, information management,and intelligent systems tools, as well as the application of such tools in an industrial setting.

Chair

Bhattacharyya, D., West Virginia University

Co-Chair

Chmielewski, D. J., Illinois Institute of Technology

Presentations

12:30 PM

(328a) Variable and Term Selection of Approximations for Data-Driven Optimization

12:51 PM

(328b) Data-Driven Approximation of Feasible Region, Constrained Design of Experiments, and Optimization

01:12 PM

(328c) Data-Driven Model Building of Zeolite Adsorption Processes with Uncertainty Quantification and Propagation to Dynamic Simulations of CO2 Adsorption

01:33 PM

(328d) Data-Driven Stochastic Robust Optimization: General Modeling Framework and Efficient Computational Algorithm for Handling Labeled Multi-Class Uncertainty Data

01:54 PM

(328e) Dynamic Canonical Correlation Analysis for the Extraction and Diagnosis of Plant-Wide Oscillations

02:15 PM

(328f) Design of a Supervisory Control System for Inter-Networked Facilities Operation

02:36 PM

(328g) A Graph-Based Modeling and Optimization Framework for Complex Systems