345 Data Analysis and Big Data in Chemical Engineering

Tuesday, November 10, 2015: 12:30 PM - 3:00 PM
Salon F (Salt Lake Marriott Downtown at City Creek)

Description:
Advanced sensing technologies and increased communications are increasing the amount and variety of data available to monitor chemical processes. This session will include both methodological contributions as well as industrial practitioner case studies.

Sponsor:
Information Management and Intelligent Systems
Chair:
Leo H. Chiang Email: HChiang@dow.com
Co-chairs:
Bri-Mathias S. Hodge Email: bri-mathias.hodge@nrel.gov
Mano R. Maurya Email: mano@sdsc.edu
Heinz A. Preisig Email: Heinz.Preisig@chemeng.ntnu.no
- indicates paper has an Extended Abstract file available on CD.




File available
1:00 PM
(345c) Data-Driven Modeling of Sequential Batch-Continuous Process
Jungup Park, Michael Baldea and Thomas F. Edgar





2:00 PM


2:15 PM

File available
2:30 PM
(345i) An Integrated Scheme for Oscillation Detection and Diagnosis from Industrial Data
Shu Xu, Willy Wojsznis, Mark Nixon, Michael Baldea and Thomas F. Edgar


2:45 PM
(345j) Process Data, Is More Better? a Case Study to Improve the Chemical Manufacturing Operation
Swee-Teng Chin, Ivan Castillo, Anna McClung, Matthew Mengel, Erin Johnson and Leo H. Chiang
See more of this Group/Topical: Computing and Systems Technology Division