메뉴 건너뛰기




Volumn 123, Issue , 2013, Pages 15-27

Enhanced batch process monitoring using just-in-time-learning based kernel partial least squares

Author keywords

Batch processes; Just in time learning; Kernel partial least squares; Process monitoring

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; BATCH PROCESS; JUST IN TIME LEARNING METHOD; KERNEL METHOD; LINEAR SYSTEM; MACHINE LEARNING; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NONLINEAR SYSTEM; ONLINE MONITORING; PREDICTION; PRIORITY JOURNAL; PROCESS MONITORING; QUALITY CONTROL; RELIABILITY; SENSITIVITY ANALYSIS; SIMULATION;

EID: 84875048235     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2013.02.004     Document Type: Article
Times cited : (67)

References (48)
  • 1
    • 0028483476 scopus 로고
    • Monitoring batch processes using multiway principal component analysis
    • Nomikos P., MacGregor J.F. Monitoring batch processes using multiway principal component analysis. AICHE Journal 1994, 40:1361-1375.
    • (1994) AICHE Journal , vol.40 , pp. 1361-1375
    • Nomikos, P.1    MacGregor, J.F.2
  • 3
    • 0029357005 scopus 로고
    • Analysis, monitoring and fault diagnosis of batch processes using multiblock and multiway PLS
    • Kourti T., Nomikos P., MacGregor J.F. Analysis, monitoring and fault diagnosis of batch processes using multiblock and multiway PLS. Journal of Process Control 1995, 5:277-284.
    • (1995) Journal of Process Control , vol.5 , pp. 277-284
    • Kourti, T.1    Nomikos, P.2    MacGregor, J.F.3
  • 4
    • 0036805179 scopus 로고    scopus 로고
    • Statistical monitoring of multistage, multiphase batch processes
    • Ündey C., Cinar A. Statistical monitoring of multistage, multiphase batch processes. IEEE Control Systems Magazine 2002, 22:40-52.
    • (2002) IEEE Control Systems Magazine , vol.22 , pp. 40-52
    • Ündey, C.1    Cinar, A.2
  • 5
    • 0242390969 scopus 로고    scopus 로고
    • On-line batch process monitoring using a consecutively updated multiway principal component analysis model
    • Lee J., Yoo C., Lee I. On-line batch process monitoring using a consecutively updated multiway principal component analysis model. Computers and Chemical Engineering 2003, 27:1903-1912.
    • (2003) Computers and Chemical Engineering , vol.27 , pp. 1903-1912
    • Lee, J.1    Yoo, C.2    Lee, I.3
  • 7
    • 33644990573 scopus 로고    scopus 로고
    • On-line batch process monitoring using MHMT-based MPCA
    • Chen J., Chen H. On-line batch process monitoring using MHMT-based MPCA. Chemical Engineering Science 2006, 61:3223-3239.
    • (2006) Chemical Engineering Science , vol.61 , pp. 3223-3239
    • Chen, J.1    Chen, H.2
  • 9
    • 79959815395 scopus 로고    scopus 로고
    • Fault localization in batch processes through progressive principal component analysis modeling
    • Hong J.J., Zhang J., Morris J. Fault localization in batch processes through progressive principal component analysis modeling. Industrial and Engineering Chemistry Research 2011, 50:8153-8162.
    • (2011) Industrial and Engineering Chemistry Research , vol.50 , pp. 8153-8162
    • Hong, J.J.1    Zhang, J.2    Morris, J.3
  • 10
    • 84863412240 scopus 로고    scopus 로고
    • Utilizing transition information in online quality prediction of multiphase batch processes
    • Ge Z., Zhao L., Yao Y., Song Z., Gao F. Utilizing transition information in online quality prediction of multiphase batch processes. Journal of Process Control 2012, 22:599-611.
    • (2012) Journal of Process Control , vol.22 , pp. 599-611
    • Ge, Z.1    Zhao, L.2    Yao, Y.3    Song, Z.4    Gao, F.5
  • 11
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue
    • Schölkopf B., Smola A., Müller K. Nonlinear component analysis as a kernel eigenvalue. Neural Computation 1998, 10:1299-1319.
    • (1998) Neural Computation , vol.10 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.2    Müller, K.3
  • 12
    • 0038259120 scopus 로고    scopus 로고
    • Kernel partial least squares regression in reproducing kernel Hilbert space
    • Rosipal R., Trejo L.J. Kernel partial least squares regression in reproducing kernel Hilbert space. Journal of Machine Learning Research 2001, 2:97-123.
    • (2001) Journal of Machine Learning Research , vol.2 , pp. 97-123
    • Rosipal, R.1    Trejo, L.J.2
  • 14
    • 10244238854 scopus 로고    scopus 로고
    • Fault identification for process monitoring using kernel principal component analysis
    • Cho J., Lee J., Choi S.W., Lee D., Lee I. Fault identification for process monitoring using kernel principal component analysis. Chemical Engineering Science 2005, 60:279-288.
    • (2005) Chemical Engineering Science , vol.60 , pp. 279-288
    • Cho, J.1    Lee, J.2    Choi, S.W.3    Lee, D.4    Lee, I.5
  • 15
    • 84863151045 scopus 로고    scopus 로고
    • Dynamic processes monitoring using recursive kernel principal component analysis
    • Zhang Y., Li S., Teng Y. Dynamic processes monitoring using recursive kernel principal component analysis. Chemical Engineering Science 2012, 72:78-86.
    • (2012) Chemical Engineering Science , vol.72 , pp. 78-86
    • Zhang, Y.1    Li, S.2    Teng, Y.3
  • 16
    • 2442495227 scopus 로고    scopus 로고
    • Fault detection of batch processes using multiway kernel principal component analysis
    • Lee J., Yoo C., Lee I. Fault detection of batch processes using multiway kernel principal component analysis. Computers and Chemical Engineering 2004, 28:1837-1847.
    • (2004) Computers and Chemical Engineering , vol.28 , pp. 1837-1847
    • Lee, J.1    Yoo, C.2    Lee, I.3
  • 17
    • 77951090351 scopus 로고    scopus 로고
    • On-line batch process monitoring using batch dynamic kernel principal component analysis
    • Jia M., Chu F., Wang F., Wang W. On-line batch process monitoring using batch dynamic kernel principal component analysis. Chemometrics and Intelligent Laboratory Systems 2010, 101:110-122.
    • (2010) Chemometrics and Intelligent Laboratory Systems , vol.101 , pp. 110-122
    • Jia, M.1    Chu, F.2    Wang, F.3    Wang, W.4
  • 18
    • 24044461725 scopus 로고    scopus 로고
    • A novel multivariate regression approach based on kernel partial least squares with orthogonal signal correction
    • Kim K., Lee J., Lee I. A novel multivariate regression approach based on kernel partial least squares with orthogonal signal correction. Chemometrics and Intelligent Laboratory Systems 2005, 79:22-30.
    • (2005) Chemometrics and Intelligent Laboratory Systems , vol.79 , pp. 22-30
    • Kim, K.1    Lee, J.2    Lee, I.3
  • 19
    • 40449133038 scopus 로고    scopus 로고
    • Nonlinear multivariate quality estimation and prediction based on kernel partial least squares
    • Zhang X., Yan W., Shao H. Nonlinear multivariate quality estimation and prediction based on kernel partial least squares. Industrial and Engineering Chemistry Research 2008, 47:1120-1131.
    • (2008) Industrial and Engineering Chemistry Research , vol.47 , pp. 1120-1131
    • Zhang, X.1    Yan, W.2    Shao, H.3
  • 20
    • 69349083126 scopus 로고    scopus 로고
    • Complex process monitoring using modified partial least squares method of independent component regression
    • Zhang Y., Zhang Y. Complex process monitoring using modified partial least squares method of independent component regression. Chemometrics and Intelligent Laboratory Systems 2009, 98:143-148.
    • (2009) Chemometrics and Intelligent Laboratory Systems , vol.98 , pp. 143-148
    • Zhang, Y.1    Zhang, Y.2
  • 21
    • 76849100172 scopus 로고    scopus 로고
    • Decentralized fault diagnosis of large-scale processes using multiblock kernel partial least squares
    • Zhang Y., Hong Z., Qin S.J., Chai T. Decentralized fault diagnosis of large-scale processes using multiblock kernel partial least squares. IEEE Transactions on Industrial Informatics 2010, 6:3-10.
    • (2010) IEEE Transactions on Industrial Informatics , vol.6 , pp. 3-10
    • Zhang, Y.1    Hong, Z.2    Qin, S.J.3    Chai, T.4
  • 22
    • 80052801546 scopus 로고    scopus 로고
    • On-line batch process monitoring using hierarchical kernel partial least squares
    • Zhang Y., Hu Z. On-line batch process monitoring using hierarchical kernel partial least squares. Chemical Engineering Research and Design 2011, 89:2078-2084.
    • (2011) Chemical Engineering Research and Design , vol.89 , pp. 2078-2084
    • Zhang, Y.1    Hu, Z.2
  • 24
    • 12344295457 scopus 로고    scopus 로고
    • Adaptive multiscale principal component analysis for on-line monitoring of a sequencing batch reactor
    • Lee D.S., Park J.M., Vanrolleghem P.A. Adaptive multiscale principal component analysis for on-line monitoring of a sequencing batch reactor. Journal of Biotechnology 2005, 116:195-210.
    • (2005) Journal of Biotechnology , vol.116 , pp. 195-210
    • Lee, D.S.1    Park, J.M.2    Vanrolleghem, P.A.3
  • 25
    • 34248546466 scopus 로고    scopus 로고
    • Dissimilarity analysis based batch process monitoring using moving windows
    • Zhao C., Wang F., Jia M. Dissimilarity analysis based batch process monitoring using moving windows. AICHE Journal 2007, 53:1267-1277.
    • (2007) AICHE Journal , vol.53 , pp. 1267-1277
    • Zhao, C.1    Wang, F.2    Jia, M.3
  • 26
    • 44349144443 scopus 로고    scopus 로고
    • Adaptive monitoring based on independent component analysis for multiphase batch processes with limited modeling data
    • Zhao C., Wang F., Mao Z., Lu N., Jia M. Adaptive monitoring based on independent component analysis for multiphase batch processes with limited modeling data. Industrial and Engineering Chemistry Research 2008, 47:3104-3113.
    • (2008) Industrial and Engineering Chemistry Research , vol.47 , pp. 3104-3113
    • Zhao, C.1    Wang, F.2    Mao, Z.3    Lu, N.4    Jia, M.5
  • 27
    • 1042268071 scopus 로고    scopus 로고
    • Sub-PCA modeling and on-line monitoring strategy for batch processes
    • Lu N., Gao F., Wang F. Sub-PCA modeling and on-line monitoring strategy for batch processes. AICHE Journal 2004, 50:255-259.
    • (2004) AICHE Journal , vol.50 , pp. 255-259
    • Lu, N.1    Gao, F.2    Wang, F.3
  • 28
    • 33645311553 scopus 로고    scopus 로고
    • Multi-phase principal component analysis for batch processes modelling
    • Camacho J., PicS J. Multi-phase principal component analysis for batch processes modelling. Chemometrics and Intelligent Laboratory Systems 2006, 81:127-136.
    • (2006) Chemometrics and Intelligent Laboratory Systems , vol.81 , pp. 127-136
    • Camacho, J.1    PicS, J.2
  • 29
    • 78650969999 scopus 로고    scopus 로고
    • Enhanced process comprehension and quality analysis based on subspace separation for multiphase batch processes
    • Zhao C., Gao F., Niu D., Wang F. Enhanced process comprehension and quality analysis based on subspace separation for multiphase batch processes. AICHE Journal 2011, 57:388-403.
    • (2011) AICHE Journal , vol.57 , pp. 388-403
    • Zhao, C.1    Gao, F.2    Niu, D.3    Wang, F.4
  • 30
    • 2942672193 scopus 로고    scopus 로고
    • PCA-based modeling and on-line monitoring strategy for uneven-length batch processes
    • Lu N., Gao F., Yang Y., Wang F. PCA-based modeling and on-line monitoring strategy for uneven-length batch processes. Industrial and Engineering Chemistry Research 2004, 43:3343-3352.
    • (2004) Industrial and Engineering Chemistry Research , vol.43 , pp. 3343-3352
    • Lu, N.1    Gao, F.2    Yang, Y.3    Wang, F.4
  • 31
    • 84875034864 scopus 로고    scopus 로고
    • Multivariate statistical monitoring of multiphase batch processes with between-phase transitions and uneven operation durations
    • Yao Y., Dong W., Zhao L., Gao F. Multivariate statistical monitoring of multiphase batch processes with between-phase transitions and uneven operation durations. Canadian Journal of Chemical Engineering 2012, 9999:1-10.
    • (2012) Canadian Journal of Chemical Engineering , vol.9999 , pp. 1-10
    • Yao, Y.1    Dong, W.2    Zhao, L.3    Gao, F.4
  • 32
    • 36348941124 scopus 로고    scopus 로고
    • Fault detection of nonlinear processes using multiway kernel independent component analysis
    • Zhang Y., Qin S.J. Fault detection of nonlinear processes using multiway kernel independent component analysis. Industrial and Engineering Chemistry Research 2007, 46:7780-7787.
    • (2007) Industrial and Engineering Chemistry Research , vol.46 , pp. 7780-7787
    • Zhang, Y.1    Qin, S.J.2
  • 33
    • 79952591121 scopus 로고    scopus 로고
    • Nonlinear bioprocess monitoring using multiway kernel localized Fisher discriminant analysis
    • Yu J. Nonlinear bioprocess monitoring using multiway kernel localized Fisher discriminant analysis. Industrial and Engineering Chemistry Research 2011, 50:3390-3402.
    • (2011) Industrial and Engineering Chemistry Research , vol.50 , pp. 3390-3402
    • Yu, J.1
  • 34
    • 2942558590 scopus 로고    scopus 로고
    • A new data-based methodology for nonlinear process modeling
    • Cheng C., Chiu M.S. A new data-based methodology for nonlinear process modeling. Chemical Engineering Science 2004, 59:2801-2810.
    • (2004) Chemical Engineering Science , vol.59 , pp. 2801-2810
    • Cheng, C.1    Chiu, M.S.2
  • 36
    • 50649095932 scopus 로고    scopus 로고
    • Online monitoring of nonlinear multiple mode processes based on adaptive local model approach
    • Ge Z., Song Z. Online monitoring of nonlinear multiple mode processes based on adaptive local model approach. Control Engineering Practice 2008, 16:1427-1437.
    • (2008) Control Engineering Practice , vol.16 , pp. 1427-1437
    • Ge, Z.1    Song, Z.2
  • 37
    • 68049143320 scopus 로고    scopus 로고
    • Soft-sensor development using correlation-based just-in-time modeling
    • Fujiwara K., Kano M., Hasebe S., Takinami A. Soft-sensor development using correlation-based just-in-time modeling. AICHE Journal 2009, 55:1754-1765.
    • (2009) AICHE Journal , vol.55 , pp. 1754-1765
    • Fujiwara, K.1    Kano, M.2    Hasebe, S.3    Takinami, A.4
  • 38
    • 78650524009 scopus 로고    scopus 로고
    • A comparative study of just-in-time-learning based methods for online soft sensor modeling
    • Ge Z., Song Z. A comparative study of just-in-time-learning based methods for online soft sensor modeling. Chemometrics and Intelligent Laboratory Systems 2010, 104:306-317.
    • (2010) Chemometrics and Intelligent Laboratory Systems , vol.104 , pp. 306-317
    • Ge, Z.1    Song, Z.2
  • 39
    • 84863357539 scopus 로고    scopus 로고
    • Just-in-time kernel learning with adaptive parameter selection for soft sensor modeling of batch processes
    • Liu Y., Gao Z., Li P., Wang H. Just-in-time kernel learning with adaptive parameter selection for soft sensor modeling of batch processes. Industrial and Engineering Chemistry Research 2012, 51:4313-4327.
    • (2012) Industrial and Engineering Chemistry Research , vol.51 , pp. 4313-4327
    • Liu, Y.1    Gao, Z.2    Li, P.3    Wang, H.4
  • 41
  • 43
    • 0027530250 scopus 로고
    • SIMPLS: an alternative approach to partial least squares regression
    • De Jong S. SIMPLS: an alternative approach to partial least squares regression. Chemometrics and Intelligent Laboratory Systems 1993, 18:251-263.
    • (1993) Chemometrics and Intelligent Laboratory Systems , vol.18 , pp. 251-263
    • De Jong, S.1
  • 44
    • 60749086223 scopus 로고    scopus 로고
    • Nonlinear process modeling and optimization based on multiway kernel partial least squares model
    • Di L., Xiong Z., Yang X. Nonlinear process modeling and optimization based on multiway kernel partial least squares model. Proceedings of the 2008 Winter Simulation Conference 2008, 1645-1651.
    • (2008) Proceedings of the 2008 Winter Simulation Conference , pp. 1645-1651
    • Di, L.1    Xiong, Z.2    Yang, X.3
  • 45
    • 84862242917 scopus 로고    scopus 로고
    • On-line batch process monitoring using multiway kernel partial least squares
    • Hu Y., Ma H., Shi H. On-line batch process monitoring using multiway kernel partial least squares. Journal of Donghua University (English Edition) 2011, 28:585-590.
    • (2011) Journal of Donghua University (English Edition) , vol.28 , pp. 585-590
    • Hu, Y.1    Ma, H.2    Shi, H.3
  • 46
    • 0029252734 scopus 로고
    • Multivariate SPC charts for monitoring batch processes
    • Nomikos P., MacGregor J.F. Multivariate SPC charts for monitoring batch processes. Technometrics 1995, 37:41-59.
    • (1995) Technometrics , vol.37 , pp. 41-59
    • Nomikos, P.1    MacGregor, J.F.2
  • 48
    • 0037110983 scopus 로고    scopus 로고
    • A modular simulation package for fed-batch fermentation: penicillin production
    • Birol G., Ündey C., Cinar A. A modular simulation package for fed-batch fermentation: penicillin production. Computers and Chemical Engineering 2002, 26:1553-1565.
    • (2002) Computers and Chemical Engineering , vol.26 , pp. 1553-1565
    • Birol, G.1    Ündey, C.2    Cinar, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.