Block recursive MPCA and its application in batch process monitoring

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

Volumn 3, Issue , 2003, Pages 2342-2347

  Xie, Lei ^a   He, Ning ^a   Wang, Shu Qing ^a   Zhang, Jian Ming ^a  

^a STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

Author keywords

Batch monitoring; Block recursive principal component; Multi block principal component; Statistical process control

Indexed keywords

ALGORITHMS; FERMENTATION; MATHEMATICAL MODELS; MATRIX ALGEBRA; MONITORING; PROCESS CONTROL;

BATCH PROCESS MONITORING; BLOCK RECURSIVE MULTIWAY PRINCIPAL COMPONENT ANALYSIS; FORGETTING FACTORS; PROCESS VARIABLES TRAJECTORIES;

PRINCIPAL COMPONENT ANALYSIS;

EID: 0242721923     PISSN: 08843627     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Ning He, Lei Xie, Shu-qing Wang, Jian-ming Zhang, "Step-by-step Adaptive MPCA Applied to an Industrial Fermentation Batch Process", Accepted by IFAC ADCHEM 2003.
2. Manabu Kano, Hasebe Shinji, Hashimoto Iori, "Statistical process monitoring based on dissimilarity of process data", AIChE Journal, Vol. 48, pp. 1232-1234, June, 2002
3. Manabu Kano, Shinji Hasebe, Iori Hashimoto, Hiromu Ohno, "A new multivariate statistal process monitoring using principal component analysis", Computes and Chemical Engineering, Vol. 25, pp. 1103-1113, 2001
4. Weihua Li, H.Henry Yue, Sergio Valle-Cervates, S.Joe Qin, "Recursive PCA for adaptive process monitoring", Journal of Process Control, Vol. 10, pp. 471-486, Oct, 2002.
5. P. Nomikos and J. F MacGregor, "Monitoring of batch processes using multi-way principal components analysis", AIChe Journal, Vol. 20 pp. 1361-1375, Aug. 1994