Multivariate statistical process control with dynamic external analysis

被引:0
|
作者
Kano, M [1 ]
Maruta, H [1 ]
Tanaka, S [1 ]
Hasebe, S [1 ]
Hashimoto, I [1 ]
Ohno, H [1 ]
机构
[1] Kyoto Univ, Sakyo Ku, Kyoto 6068501, Japan
关键词
statistical process control; fault detection; external analysis; principal component analysis; independent component analysis;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The practicability of statistical process control (SPC) is limited due to the assumption that a process is operated in a steady state. In the present work, external analysis is proposed to cope with changes in operating conditions such as load changes and grade transitions. The effectiveness of SPC methods integrated with the proposed external analysis was confirmed by application results.
引用
收藏
页码:3081 / 3086
页数:6
相关论文
共 50 条
  • [1] Evolution of multivariate statistical process control: application of independent component analysis and external analysis
    Kano, M
    Hasebe, S
    Hashimoto, I
    Ohno, H
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 2004, 28 (6-7) : 1157 - 1166
  • [2] Dynamic multivariate statistical process control using subspace identification
    Treasure, RJ
    Kruger, U
    Cooper, JE
    [J]. JOURNAL OF PROCESS CONTROL, 2004, 14 (03) : 279 - 292
  • [3] Screwing process analysis using multivariate statistical process control
    Teixeira, Humberto Nuno
    Lopes, Isabel
    Braga, Ana Cristina
    Delgado, Pedro
    Martins, Cristina
    [J]. 29TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM 2019): BEYOND INDUSTRY 4.0: INDUSTRIAL ADVANCES, ENGINEERING EDUCATION AND INTELLIGENT MANUFACTURING, 2019, 38 : 932 - 939
  • [4] Integrating multivariate engineering process control and multivariate statistical process control
    Ling Yang
    Shey-Huei Sheu
    [J]. The International Journal of Advanced Manufacturing Technology, 2006, 29 : 129 - 136
  • [5] Integrating multivariate engineering process control and multivariate statistical process control
    Yang, Ling
    Shen, Shey-Huei
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2006, 29 (1-2): : 129 - 136
  • [6] Dynamic multivariate statistical process control using partial least squares and canonical variate analysis
    Simoglou, A
    Martin, EB
    Morris, AJ
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 1999, 23 : S277 - S280
  • [7] Multivariate Statistical Process Control in Etching Process
    Kai, Xie
    [J]. CHINA SEMICONDUCTOR TECHNOLOGY INTERNATIONAL CONFERENCE 2010 (CSTIC 2010), 2010, 27 (01): : 985 - 991
  • [8] Industrial use of multivariate statistical analysis for process monitoring and control
    Champagne, M
    Dudzic, M
    [J]. PROCEEDINGS OF THE 2002 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2002, 1-6 : 594 - 599
  • [9] Improvement of causal analysis using multivariate statistical process control
    Ching-Pao Chang
    Chih-Ping Chu
    [J]. Software Quality Journal, 2008, 16 : 377 - 409
  • [10] Improvement of causal analysis using multivariate statistical process control
    Chang, Ching-Pao
    Chu, Chih-Ping
    [J]. SOFTWARE QUALITY JOURNAL, 2008, 16 (03) : 377 - 409