메뉴 건너뛰기




Volumn 19, Issue 2, 2009, Pages 288-296

Batch process monitoring with tensor factorization

Author keywords

Batch process monitoring; Dynamic monitoring; Fault detection and diagnosis; Moving data window; Tensor factorization; Tensor locality preserving projections

Indexed keywords

BATCH DATA PROCESSING; BIOCHEMICAL ENGINEERING; ELECTRIC NETWORK TOPOLOGY; FACTORIZATION; FAULT DETECTION; FERMENTATION; MONITORING; PRINCIPAL COMPONENT ANALYSIS; PROCESS CONTROL; PROCESS MONITORING; SEWAGE TREATMENT PLANTS; TENSORS; WINDOWS;

EID: 58749102262     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2008.03.003     Document Type: Article
Times cited : (52)

References (34)
  • 1
    • 0028483476 scopus 로고
    • Monitoring batch processes using multiway principal component analysis
    • Nomikos P., and MacGregor J.F. Monitoring batch processes using multiway principal component analysis. AIChE Journal 40 8 (1994) 1361-1375
    • (1994) AIChE Journal , vol.40 , Issue.8 , pp. 1361-1375
    • Nomikos, P.1    MacGregor, J.F.2
  • 2
    • 0029252734 scopus 로고
    • Multivariate SPC charts for monitoring batch processes
    • Nomikos P., and MacGregor J.F. Multivariate SPC charts for monitoring batch processes. Technometrics 37 1 (1995) 41-59
    • (1995) Technometrics , vol.37 , Issue.1 , pp. 41-59
    • Nomikos, P.1    MacGregor, J.F.2
  • 4
    • 0034015053 scopus 로고    scopus 로고
    • Multivariate statistical process control of batch processes based on three-way models
    • Louwerse D.J., and Smilde A.K. Multivariate statistical process control of batch processes based on three-way models. Chemical Engineering Science 55 7 (2000) 1225-1235
    • (2000) Chemical Engineering Science , vol.55 , Issue.7 , pp. 1225-1235
    • Louwerse, D.J.1    Smilde, A.K.2
  • 5
    • 0037394190 scopus 로고    scopus 로고
    • Monitoring independent components for fault detection
    • Kano M., Tanaka S., Hasebe S., Hashimoto I., and Ohno H. Monitoring independent components for fault detection. AIChE Journal 49 4 (2003) 969-976
    • (2003) AIChE Journal , vol.49 , Issue.4 , pp. 969-976
    • Kano, M.1    Tanaka, S.2    Hasebe, S.3    Hashimoto, I.4    Ohno, H.5
  • 6
    • 1042266980 scopus 로고    scopus 로고
    • On-line batch process monitoring using different unfolding method and independent component analysis
    • Lee J.M., Yoo C.K., and Lee I.B. On-line batch process monitoring using different unfolding method and independent component analysis. Journal of Chemical Engineering of Japan 36 11 (2003) 1384-1396
    • (2003) Journal of Chemical Engineering of Japan , vol.36 , Issue.11 , pp. 1384-1396
    • Lee, J.M.1    Yoo, C.K.2    Lee, I.B.3
  • 8
    • 30544445406 scopus 로고    scopus 로고
    • Two-dimensional dynamic PCA for batch process monitoring
    • Lu N.Y., Yao Y., and Gao F.R. Two-dimensional dynamic PCA for batch process monitoring. AIChE Journal 51 12 (2005) 3300-3304
    • (2005) AIChE Journal , vol.51 , Issue.12 , pp. 3300-3304
    • Lu, N.Y.1    Yao, Y.2    Gao, F.R.3
  • 9
    • 33645311553 scopus 로고    scopus 로고
    • Multi-phase principal component analysis for batch processes modelling
    • Camacho J., and Picó J. Multi-phase principal component analysis for batch processes modelling. Chemometrics and Intelligent Laboratory Systems 81 2 (2006) 127-136
    • (2006) Chemometrics and Intelligent Laboratory Systems , vol.81 , Issue.2 , pp. 127-136
    • Camacho, J.1    Picó, J.2
  • 10
    • 33750361533 scopus 로고    scopus 로고
    • Online monitoring of batch processes using multi-phase principal component analysis
    • Camacho J., and Picó J. Online monitoring of batch processes using multi-phase principal component analysis. Journal of Process Control 16 10 (2006) 1021-1035
    • (2006) Journal of Process Control , vol.16 , Issue.10 , pp. 1021-1035
    • Camacho, J.1    Picó, J.2
  • 11
    • 34248546466 scopus 로고    scopus 로고
    • Dissimilarity analysis based batch process monitoring using moving windows
    • Zhao C.H., Wang F.L., and Jia M.X. Dissimilarity analysis based batch process monitoring using moving windows. AIChE Journal 53 5 (2007) 1267-1277
    • (2007) AIChE Journal , vol.53 , Issue.5 , pp. 1267-1277
    • Zhao, C.H.1    Wang, F.L.2    Jia, M.X.3
  • 12
    • 44649092618 scopus 로고    scopus 로고
    • Multivariate statistical process control based on multiway locality preserving projections
    • Hu K.L., and Yuan J.Q. Multivariate statistical process control based on multiway locality preserving projections. Journal of Process Control 18 7-8 (2008) 797-807
    • (2008) Journal of Process Control , vol.18 , Issue.7-8 , pp. 797-807
    • Hu, K.L.1    Yuan, J.Q.2
  • 13
    • 21844434004 scopus 로고    scopus 로고
    • Fault detection properties of global, local and time evolving models for batch process monitoring
    • Ramaker H.-J., Van Sprang E.N.M., Westerhuis J.A., and Smilde A.K. Fault detection properties of global, local and time evolving models for batch process monitoring. Journal of Process Control 15 7 (2005) 799-805
    • (2005) Journal of Process Control , vol.15 , Issue.7 , pp. 799-805
    • Ramaker, H.-J.1    Van Sprang, E.N.M.2    Westerhuis, J.A.3    Smilde, A.K.4
  • 16
    • 0030530039 scopus 로고    scopus 로고
    • The process chemometrics approach to process monitoring and fault detection
    • Wise B.M., and Gallagher N.B. The process chemometrics approach to process monitoring and fault detection. Journal of Process Control 6 6 (1996) 329-348
    • (1996) Journal of Process Control , vol.6 , Issue.6 , pp. 329-348
    • Wise, B.M.1    Gallagher, N.B.2
  • 17
    • 0242354134 scopus 로고    scopus 로고
    • Statistical process monitoring: basics and beyond
    • Qin S.J. Statistical process monitoring: basics and beyond. Journal of Chemometrics 17 8-9 (2003) 480-502
    • (2003) Journal of Chemometrics , vol.17 , Issue.8-9 , pp. 480-502
    • Qin, S.J.1
  • 18
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • Belkin M., and Niyogi P. Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation 15 6 (2003) 1373-1396
    • (2003) Neural Computation , vol.15 , Issue.6 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 21
    • 58749102033 scopus 로고    scopus 로고
    • D. Cai, X.F. He, J.W. Han, Subspace learning based on tensor analysis, Department of Computer Science Technical Report No. 2572, University of Illinois at Urbana-Champaign (UIUCDCS-R-2005-2572), May 2005.
    • D. Cai, X.F. He, J.W. Han, Subspace learning based on tensor analysis, Department of Computer Science Technical Report No. 2572, University of Illinois at Urbana-Champaign (UIUCDCS-R-2005-2572), May 2005.
  • 26
    • 0037457689 scopus 로고    scopus 로고
    • Monitoring of a sequencing batch reactor using adaptive multiblock principal component analysis
    • Lee D.S., and Vanrolleghem P.A. Monitoring of a sequencing batch reactor using adaptive multiblock principal component analysis. Biotechnology and Bioengineering 82 4 (2003) 489-497
    • (2003) Biotechnology and Bioengineering , vol.82 , Issue.4 , pp. 489-497
    • Lee, D.S.1    Vanrolleghem, P.A.2
  • 27
    • 0037039540 scopus 로고    scopus 로고
    • On-line batch process monitoring using dynamic PCA and dynamic PLS models
    • Chen J., and Liu K.C. On-line batch process monitoring using dynamic PCA and dynamic PLS models. Chemical Engineering Science 57 1 (2002) 63-75
    • (2002) Chemical Engineering Science , vol.57 , Issue.1 , pp. 63-75
    • Chen, J.1    Liu, K.C.2
  • 28
    • 0036628052 scopus 로고    scopus 로고
    • Statistical process monitoring based on dissimilarity of process data
    • Kano M., Hasebe S., Hashimoto I., and Ohno H. Statistical process monitoring based on dissimilarity of process data. AIChE Journal 48 6 (2002) 1231-1239
    • (2002) AIChE Journal , vol.48 , Issue.6 , pp. 1231-1239
    • Kano, M.1    Hasebe, S.2    Hashimoto, I.3    Ohno, H.4
  • 29
    • 0037036779 scopus 로고    scopus 로고
    • Pattern matching in multivariate time series databases using a moving-window approach
    • Singhal A., and Seborg D.E. Pattern matching in multivariate time series databases using a moving-window approach. Industrial & Engineering Chemistry Research 41 16 (2002) 3822-3838
    • (2002) Industrial & Engineering Chemistry Research , vol.41 , Issue.16 , pp. 3822-3838
    • Singhal, A.1    Seborg, D.E.2
  • 30
    • 33645389475 scopus 로고    scopus 로고
    • Evaluation of a pattern matching method for the Tennessee Eastman challenge process
    • Singhal A., and Seborg D.E. Evaluation of a pattern matching method for the Tennessee Eastman challenge process. Journal of Process Control 16 6 (2006) 601-613
    • (2006) Journal of Process Control , vol.16 , Issue.6 , pp. 601-613
    • Singhal, A.1    Seborg, D.E.2
  • 32
    • 33747316325 scopus 로고    scopus 로고
    • Nonlinear multivariate filtering and bioprocess monitoring for supervising nonlinear biological processes
    • Yoo C.K., and Lee I.B. Nonlinear multivariate filtering and bioprocess monitoring for supervising nonlinear biological processes. Process Biochemistry 41 8 (2006) 1854-1863
    • (2006) Process Biochemistry , vol.41 , Issue.8 , pp. 1854-1863
    • Yoo, C.K.1    Lee, I.B.2
  • 33
    • 0037110983 scopus 로고    scopus 로고
    • A modular simulation package for fed-batch fermentation: penicillin production
    • Birol G., Undey C., and Cinar A. A modular simulation package for fed-batch fermentation: penicillin production. Computers and Chemical Engineering 26 1 (2002) 1553-1565
    • (2002) Computers and Chemical Engineering , vol.26 , Issue.1 , pp. 1553-1565
    • Birol, G.1    Undey, C.2    Cinar, A.3
  • 34
    • 4644250314 scopus 로고    scopus 로고
    • The effect of the size of the training set and number of principal components on the false alarm rate in statistical process monitoring
    • Ramaker H.-J., Van Sprang E.N.M., Westerhuis J.A., and Smilde A.K. The effect of the size of the training set and number of principal components on the false alarm rate in statistical process monitoring. Chemometrics and Intelligent Laboratory Systems 73 2 (2004) 181-187
    • (2004) Chemometrics and Intelligent Laboratory Systems , vol.73 , Issue.2 , pp. 181-187
    • Ramaker, H.-J.1    Van Sprang, E.N.M.2    Westerhuis, J.A.3    Smilde, A.K.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.