Visual method for process monitoring and its application to Tennessee Eastman challenge problem

被引：0
|
作者：
Gu, YM [1 ]
Zhao, YH [1 ]
Wang, H [1 ]
机构：
[1] Zhejiang Univ, Inst Syst Engn, Hangzhou 310027, Peoples R China
来源：
PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年
关键词：
process monitoring; self-organizing map; Tennessee Eastman problem; fault detection;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Online process monitoring is extremely important for the successful operation of any process. In this paper a visual data-based method suitable for online monitoring of complex systems is proposed. The self-organizing map is used to project a high-dimensional vector of process data onto a 2D visualization space in which different process conditions are represented by different regions. The process state can be indicated by the trajectory in visualization space. The effectiveness of the proposed method is illustrated by the application on the Tennessee Eastman process. Online monitoring and fault detection can be carried in a more intuitionistic and practical manner by using this method.
引用
收藏
页码：3423 / 3428
页数：6
相关论文
共 50 条
  • [1] The Tennessee Eastman problem as a process monitoring benchmark
    Howell, J
    Chen, J
    Zhang, J
    [J]. (SAFEPROCESS'97): FAULT DETECTION, SUPERVISION AND SAFETY FOR TECHNICAL PROCESSES 1997, VOLS 1-3, 1998, : 223 - 228
  • [2] Comparison of statistical process monitoring methods: application to the Eastman challenge problem
    Kano, M
    Nagao, K
    Hasebe, S
    Hashimoto, I
    Ohno, H
    Strauss, R
    Bakshi, B
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 2000, 24 (2-7) : 175 - 181
  • [3] Evaluation of a pattern matching method for the Tennessee Eastman challenge process
    Singhal, Ashish
    Seborg, Dale E.
    [J]. JOURNAL OF PROCESS CONTROL, 2006, 16 (06) : 601 - 613
  • [4] Process Fault Diagnosis Method Based on MSPC and LiNGAM and its Application to Tennessee Eastman Process
    Uchida, Yoshiaki
    Fujiwara, Koichi
    Saito, Tatsuki
    Osaka, Taketsugu
    [J]. IFAC PAPERSONLINE, 2022, 55 (02): : 384 - 389
  • [5] Decentralized control of the Tennessee Eastman Challenge Process
    Ricker, NL
    [J]. JOURNAL OF PROCESS CONTROL, 1996, 6 (04) : 205 - 221
  • [6] On-line optimization of the Tennessee Eastman challenge problem
    Duvall, PM
    Riggs, JB
    [J]. JOURNAL OF PROCESS CONTROL, 2000, 10 (01) : 19 - 33
  • [7] A Time Window based Two-Dimensional PCA for Process Monitoring and Its Application to Tennessee Eastman Process
    Yuan, Xiaofeng
    Wang, Di
    Wang, Yalin
    Shao, Weiming
    [J]. PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20), 2020, : 1364 - 1369
  • [8] Identification of the Tennessee Eastman challenge process with subspace methods
    Juricek, BC
    Seborg, DE
    Larimore, WE
    [J]. CONTROL ENGINEERING PRACTICE, 2001, 9 (12) : 1337 - 1351
  • [9] On-line optimization of the Tennessee Eastman challenge process
    Yan, M
    Ricker, NL
    [J]. PROCEEDINGS OF THE 1997 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 1997, : 2960 - 2965
  • [10] A novel use for an old problem: The Tennessee Eastman challenge process as an activating teaching tool
    Udugama, Isuru A.
    Gernaey, Krist, V
    Taube, Michael A.
    Bayer, Christoph
    [J]. EDUCATION FOR CHEMICAL ENGINEERS, 2020, 30 : 20 - 31
12345