Preliminary Program subject to change
10C11 Fault Detection and Diagnosis I
OverviewThe emphasis of this session is on theoretical and application studies related to fault detection and diagnosis for batch and continuous processes. Higher priority will be given to industrial contributions and real-time studies. Contributions are sought in, but not limited to, the following areas:
  • Novel techniques or advances in existing techniques in fault detection, identification, and diagnosis.
  • Process monitoring system for flexible manufacturing plants with multiple product recipes and various operating conditions.
  • Incorporation of process knowledge into fault detection, identification, and diagnosis.
  • Model maintenance issues (such as adaptive model, model update, etc.) for on-line applications
  • Data pre-processing issues (such as outlier detection, sensor validation, filtering, missing value estimation, etc.) for on-line applications.
    • Primary SponsorComputers in Operations and Information Processing (10c)

    Chair

    Rajagopalan Srinivasan
    Professor
    National University of Singapore
    Department of Chemical and Environmental Engineering
    10 Kent Ridge Crescent
    119260
    Singapore
    Phone Number: +65 68748041
    Fax Number: +65 67791936
    Email: chergs@nus.edu.sg

    CoChair

    Leo H. Chiang
    The Dow Chemical Company
    Corporate R&D
    2301 Brazosport Blvd., B1463
    Freeport, TX 77584
    U.S.A.
    Phone Number: 979-238-5377
    Fax Number: 979-238-0100
    Email: HChiang@dow.com
    Industrial Implementation of on-Line Multivariate Quality Control
    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
    Multivariate Approaches for the Diagnosis of a Batch Chemical Process
    Manuel Zarzo and Alberto Ferrer, Applied Statistics, Operations Research and Quality, Polytechnic University of Valencia, Camino de Vera, s/n, Valencia, 46022, Spain
    A Curve Fitting Method for Detecting Valve Stiction in Oscillating Control Loops
    Q. Peter He, Spansion LLC, 5204 E Ben White Blvd M/S 568, Austin, TX 78741, Jin Wang, Advanced Process Control, Advanced Micro Devices, 5204 E. Ben White Blvd, MS 613, Austin, TX 78741, Martin Pottmann, Process Dynamics & Control, DuPont Engineering Research & Technology, 1007 Market Street, B7402, Wilmington, DE 19898 and S. Joe Qin, Chemical Engineering, The University of Texas at Austin, 1 University Station C0400, Austin, TX 78712
    On-Line and off-Line Fault Detection and Diagnosis in Fed-Batch Fermentation
    Jon C. Gunther and Dale E. Seborg, Chemical Engineering, UC-Santa Barbara, Santa Barbara, CA 93105
    Monitoring and Fault Detection of Catalytic Automotive Emission Control Systems
    Kenneth R. Muske, Villanova University, Department of Chemical Engineering, 800 Lancaster Ave., Villanova, PA 19085-1681, James C. Peyton Jones, Villanova University, 800 Lancaster Ave., Villanova, PA 19085 and Imad H. Makki, Advanced Powertrain Control Systems, Ford Motor Company, Fairlane Program Center B, 760 TownCenter Drive, Dearborn, MI 48126-2720
    Augmented Dynamic Pca Approach for Online Monitoring of Multi-Stage Batch Processes
    Xuan-Tien Doan, Process Science and Modelling, Institute of Chemical and Engineering Sciences (ICES), 1 Pesek Road, Jurong Island, Singapore, 627833, Singapore and Rajagopalan Srinivasan, Department of Chemical and Biomolecular Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore, 119260, Singapore
    Statistical Inference Methods for Mimo Control Performance Monitoring
    Jie Yu and S. Joe Qin, Chemical Engineering, The University of Texas at Austin, 1 University Station C0400, Austin, TX 78712

    Computing and Systems Technology Division