Preliminary Program subject to change
10B08 Process Monitoring and Fault Detection I
OverviewDevelopments in process monitoring and fault detection.
Primary SponsorSystems and Process Control (10b)
Co-Sponsor(s)Computers in Operations and Information Processing (10c)

Chair

S. Joe Qin
Professor
University of Texas
Department of Chemical Engineering
Austin, TX 78712
Phone Number: 512-471-4417
Fax Number: 512-471-7060
Email: qin@che.utexas.edu

CoChair

Leo H. Chiang
The Dow Chemical Company
Corporate R&D
2301 Brazosport Blvd., B1463
Freeport, TX 77584
Phone Number: 979-238-5377
Fax Number: 979-238-0100
Email: HChiang@dow.com
Process Trend Monitoring Based on Key Sensitive Index: Applications Semiconductor Manufacturing
Jyh-Cheng Jeng, An-Jhih Su, Hsiao-Ping Huang and Cheng-Ching Yu, Chemical Engineering, National Taiwan University, Taipei, 106-17, Taiwan
Statistical Fault Detection of Batch Processes in Semiconductor Manufacturing
Qinghua (Peter) He, Department of Chemical Engineering, Tuskegee University, Tuskegee, AL 36088 and Jin Wang, Department of Chemical Engineering, Auburn University, Auburn, AL 36849
Real-Time Thin Film Characterization during Chemical Vapor Deposition Using Moving Horizon Estimation
Rentian Xiong, School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive, N.W., Atlanta, GA 30309 and Martha Gallivan, School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive, Atlanta, GA 30332-0100
Industrial Implementation of on-Line Multivariate Quality Control (Part II: Long-Term Performance, Model Maintenance, and Model Leveraging)
Leo H. Chiang, The Dow Chemical Company, Corporate R&D, 2301 Brazosport Blvd., B1463, Freeport, TX 77584, U.S.A. and Lloyd Colegrove, The Dow Chemical Company, 2301 Brazosport Blvd., B7503, Freeport, TX 77584
Evolving Models and a Pls Similarity Factor for Monitoring Batch Processes
Jon C. Gunther and Dale E. Seborg, Chemical Engineering, UC-Santa Barbara, Santa Barbara, CA 93105
Bio-Reactor Monitoring with Multiway-Pca and Model Based-Pca
Yang Zhang, Department of Chemical Engineering, The University of Texas at Austin, 1 University Station; Mail Code C0400, Austin, TX 78712 and Thomas F. Edgar, Chemical Engineering, Dept. of Chem. Eng.,The University of Texas at Austin, 1 University Station Stop C0400, Austin, TX 78712
Variance Component Analysis Based Fault Diagnosis of Multi-Layer Overlay Lithography Processes
Jie Yu and S. Joe Qin, Department of Chemical Engineering, The University of Texas at Austin, 1 University Station C0400, Austin, TX 78712

Computing and Systems Technology Division