메뉴 건너뛰기




Volumn 46, Issue 1, 2013, Pages 1-17

Virtual sensing technology in process industries: Trends and challenges revealed by recent industrial applications

Author keywords

Industrial Application; Input Variable Selection; Just in Time Modeling; Model Maintenance; Partial Least Squares; Softsensor

Indexed keywords

INPUT VARIABLE SELECTION; JUST-IN-TIME MODELING; MODEL MAINTENANCE; PARTIAL LEAST SQUARE (PLS); SOFT SENSORS;

EID: 84872920533     PISSN: 00219592     EISSN: None     Source Type: Journal    
DOI: 10.1252/jcej.12we167     Document Type: Review
Times cited : (176)

References (100)
  • 1
    • 77954552682 scopus 로고    scopus 로고
    • A New Soft Sensor Based on Recursive Partial Least Squares for Online Melt Index Predictions in Grade-Changing HDPE Operations
    • art
    • Ahmed, F., S. Nazir and Y. Yeo; "A New Soft Sensor Based on Recursive Partial Least Squares for Online Melt Index Predictions in Grade-Changing HDPE Operations, " Chem. Prod. Process Model., 4, art. no. 33 (2009)
    • (2009) Chem. Prod. Process Model. , vol.4 , Issue.33
    • Ahmed, F.1    Nazir, S.2    Yeo, Y.3
  • 2
    • 0033365911 scopus 로고    scopus 로고
    • Subspace Identification Based Inferential Control Applied to a Continuous Pulp Digester
    • Amirthalingam, R. and J. Lee; "Subspace Identification Based Inferential Control Applied to a Continuous Pulp Digester, " J. Process Contr., 9, 397-406 (1999)
    • (1999) J. Process Contr. , vol.9 , pp. 397-406
    • Amirthalingam, R.1    Lee, J.2
  • 3
    • 0034302789 scopus 로고    scopus 로고
    • Two-Step Procedure for Data-Based Modeling for Inferential Control Applications
    • Amirthalingam, R., S. Sung and J. Lee; "Two-Step Procedure for Data-Based Modeling for Inferential Control Applications, " AIChE J., 46, 1974-1988 (2000)
    • (2000) AIChE J. , vol.46 , pp. 1974-1988
    • Amirthalingam, R.1    Sung, S.2    Lee, J.3
  • 6
    • 0032625723 scopus 로고    scopus 로고
    • Lazy Learning for Local Modelling and Control Design
    • Bontempi, G., M. Birattari and H. Bersini; "Lazy Learning for Local Modelling and Control Design, " Int. J. Control, 72, 643-658 (1999)
    • (1999) Int. J. Control , vol.72 , pp. 643-658
    • Bontempi, G.1    Birattari, M.2    Bersini, H.3
  • 8
    • 0024029459 scopus 로고
    • Modern Control Tricks Solve Distillation Problems
    • Bozenhardt, H.; "Modern Control Tricks Solve Distillation Problems, " Hydrocarbon Process., 67, 47-50 (1988)
    • (1988) Hydrocarbon Process. , vol.67 , pp. 47-50
    • Bozenhardt, H.1
  • 9
    • 0000969089 scopus 로고    scopus 로고
    • Optimization in Locally Weighted Regression
    • Centner, V. and D. L. Massart; "Optimization in Locally Weighted Regression, " Anal. Chem., 70, 4206-4211 (1998)
    • (1998) Anal. Chem. , vol.70 , pp. 4206-4211
    • Centner, V.1    Massart, D.L.2
  • 10
    • 0035438645 scopus 로고    scopus 로고
    • Implementation of Locally Weighted Regression to Maintain Calibrations on FT-NIR Analyzers for Industrial Processes
    • Chang, S., E. Baughman and B. McIntosh; "Implementation of Locally Weighted Regression to Maintain Calibrations on FT-NIR Analyzers for Industrial Processes, " Appl. Spectrosc., 55, 1199-1206 (2001)
    • (2001) Appl. Spectrosc. , vol.55 , pp. 1199-1206
    • Chang, S.1    Baughman, E.2    McIntosh, B.3
  • 11
    • 2942558590 scopus 로고    scopus 로고
    • A New Data-Based Methodology for Nonlinear Process Modeling
    • Cheng, C. and M. Chiu; "A New Data-Based Methodology for Nonlinear Process Modeling, " Chem. Eng. Sci., 59, 2801-2810 (2004)
    • (2004) Chem. Eng. Sci. , vol.59 , pp. 2801-2810
    • Cheng, C.1    Chiu, M.2
  • 12
    • 21244436700 scopus 로고    scopus 로고
    • Performance of Some Variable Selection Methods When Multicollinearity is Present
    • Chong, I. and C. Jun; "Performance of Some Variable Selection Methods When Multicollinearity is Present, " Chemom. Intell. Lab. Syst., 78, 103-112 (2005)
    • (2005) Chemom. Intell. Lab. Syst. , vol.78 , pp. 103-112
    • Chong, I.1    Jun, C.2
  • 13
    • 84936916896 scopus 로고
    • Robust Locally Weighted Regression and Smoothing Scatterplots
    • Cleveland, W.; "Robust Locally Weighted Regression and Smoothing Scatterplots, " J. Am. Stat. Assoc., 74, 829-836 (1979)
    • (1979) J. Am. Stat. Assoc. , vol.74 , pp. 829-836
    • Cleveland, W.1
  • 14
    • 84947318637 scopus 로고
    • Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
    • Cleveland, W. and S. Devlin; "Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting, " J. Am. Stat. Assoc., 83, 596-610 (1988)
    • (1988) J. Am. Stat. Assoc. , vol.83 , pp. 596-610
    • Cleveland, W.1    Devlin, S.2
  • 15
    • 34249753618 scopus 로고
    • Support Vector Networks
    • Cortes, C. and V. Vapnik; "Support Vector Networks, " Mach. Learn., 20, 273-297 (1995)
    • (1995) Mach. Learn. , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 16
    • 0031168001 scopus 로고    scopus 로고
    • Recursive Exponentially Weighted PLS and Its Applications to Adaptive Control and Prediction
    • Dayal, B. and J. MacGregor; "Recursive Exponentially Weighted PLS and Its Applications to Adaptive Control and Prediction, " J. Process Contr., 7, 169-179 (1997)
    • (1997) J. Process Contr. , vol.7 , pp. 169-179
    • Dayal, B.1    McGregor, J.2
  • 17
    • 27444433806 scopus 로고    scopus 로고
    • Soft-Sensor Development for Fed-Batch Bioreactors Using Support Vector Regression
    • Desai, K., Y. Badhe, S. Tambe and B. Kulkarni; "Soft-Sensor Development for Fed-Batch Bioreactors Using Support Vector Regression, " Biochem. Eng. J., 27, 225-239 (2006)
    • (2006) Biochem. Eng. J. , vol.27 , pp. 225-239
    • Desai, K.1    Badhe, Y.2    Tambe, S.3    Kulkarni, B.4
  • 21
    • 68049143320 scopus 로고    scopus 로고
    • Soft-Sensor Development Using Correlation-Based Just-in-Time Modeling
    • Fujiwara, K., M. Kano, S. Hasebe and A. Takinami; "Soft-Sensor Development Using Correlation-Based Just-in-Time Modeling, " AIChE J., 55, 1754-1765 (2009)
    • (2009) AIChE J. , vol.55 , pp. 1754-1765
    • Fujiwara, K.1    Kano, M.2    Hasebe, S.3    Takinami, A.4
  • 22
    • 77951091017 scopus 로고    scopus 로고
    • Development of Correlation-Based Clustering Method and Its Application to Software Sensing
    • Fujiwara, K., M. Kano and S. Hasebe; "Development of Correlation-Based Clustering Method and Its Application to Software Sensing, " Chemom. Intell. Lab. Syst., 44, 130-138 (2010)
    • (2010) Chemom. Intell. Lab. Syst. , vol.44 , pp. 130-138
    • Fujiwara, K.1    Kano, M.2    Hasebe, S.3
  • 23
    • 80054758420 scopus 로고    scopus 로고
    • Correlation-Based Spectral Clustering for Flexible Process Monitoring
    • Fujiwara, K., M. Kano and S. Hasebe; "Correlation-Based Spectral Clustering for Flexible Process Monitoring, " J. Process Contr., 21, 1438-1448 (2011)
    • (2011) J. Process Contr. , vol.21 , pp. 1438-1448
    • Fujiwara, K.1    Kano, M.2    Hasebe, S.3
  • 24
    • 84857190023 scopus 로고    scopus 로고
    • Development of Correlation-Based Pattern Recognition Algorithm and Adaptive Soft-Sensor Design
    • Fujiwara, K., M. Kano and S. Hasebe; "Development of Correlation-Based Pattern Recognition Algorithm and Adaptive Soft-Sensor Design, " Control Eng. Pract., 20, 371-378 (2012a)
    • (2012) Control Eng. Pract. , vol.20 , pp. 371-378
    • Fujiwara, K.1    Kano, M.2    Hasebe, S.3
  • 25
    • 84866268194 scopus 로고    scopus 로고
    • Input Variable Selection for PLS Modeling Using Nearest Correlation Spectral Clustering
    • Fujiwara, K., H. Sawada and M. Kano; "Input Variable Selection for PLS Modeling Using Nearest Correlation Spectral Clustering, " Chemom. Intell. Lab. Syst., 118, 109-119 (2012b)
    • (2012) Chemom. Intell. Lab. Syst. , vol.118 , pp. 109-119
    • Fujiwara, K.1    Sawada, H.2    Kano, M.3
  • 26
    • 79953832419 scopus 로고    scopus 로고
    • A Reduced Order Soft Sensor Approach and Its Application to a Continuous Digester
    • Galicia, H., Q. He and J. Wang; "A Reduced Order Soft Sensor Approach and Its Application to a Continuous Digester, " J. Process Contr., 21, 489-500 (2011)
    • (2011) J. Process Contr. , vol.21 , pp. 489-500
    • Galicia, H.1    He, Q.2    Wang, J.3
  • 27
    • 84861963447 scopus 로고    scopus 로고
    • Comparison of the Performance of a Reduced-Order Dynamic PLS Soft Sensor with Different Updating Schemes for Digester Control
    • Galicia, H., Q. He and J. Wang; "Comparison of the Performance of a Reduced-Order Dynamic PLS Soft Sensor with Different Updating Schemes for Digester Control, " Control Eng. Pract., 20, 747-760 (2012)
    • (2012) Control Eng. Pract. , vol.20 , pp. 747-760
    • Galicia, H.1    He, Q.2    Wang, J.3
  • 28
    • 50649095932 scopus 로고    scopus 로고
    • Online Monitoring of Nonlinear Multiple Mode Processes Based on Adaptive Local Model Approach
    • Ge, Z. and Z. Song; "Online Monitoring of Nonlinear Multiple Mode Processes Based on Adaptive Local Model Approach, " Control Eng. Pract., 16, 1427-1437 (2008)
    • (2008) Control Eng. Pract. , vol.16 , pp. 1427-1437
    • Ge, Z.1    Song, Z.2
  • 29
    • 44649117951 scopus 로고    scopus 로고
    • Adaptive Local Linear Regression with Application to Printer Color Management
    • Gupta, M. R., E. K. Garcia and E. Chin; "Adaptive Local Linear Regression with Application to Printer Color Management, " IEEE Trans. Image Process., 17, 936-945 (2008)
    • (2008) IEEE Trans. Image Process. , vol.17 , pp. 936-945
    • Gupta, M.R.1    Garcia, E.K.2    Chin, E.3
  • 31
    • 0017280570 scopus 로고
    • The Analysis and Selection of Variables in Linear Regression
    • Hocking, R.; "The Analysis and Selection of Variables in Linear Regression, " Biometrics, 32, 1-49 (1976)
    • (1976) Biometrics , vol.32 , pp. 1-49
    • Hocking, R.1
  • 32
    • 84872901804 scopus 로고    scopus 로고
    • Maintenance-Free Multivariate SPC by Using Correlation-Based Just-In-Time Modeling
    • MT-O-023, Tokyo, Japan
    • Ino, T., L. Huang and M. Kano; "Maintenance-Free Multivariate SPC by Using Correlation-Based Just-In-Time Modeling, " AEC/APC Symposium Asia, MT-O-023, Tokyo, Japan (2011)
    • (2011) AEC/APC Symposium Asia
    • Ino, T.1    Huang, L.2    Kano, M.3
  • 33
    • 84872910452 scopus 로고    scopus 로고
    • International Conference on Harmonization (ICH), U.S. Dept. of Health and Human Services, Food and Drug Administration, Rockville, MD, USA
    • International Conference on Harmonization (ICH); ICH Harmonised Tripartite Guideline, Pharmaceutical Development Q8, U.S. Dept. of Health and Human Services, Food and Drug Administration, Rockville, MD, USA (2005)
    • (2005) ICH Harmonised Tripartite Guideline, Pharmaceutical Development Q8
  • 34
    • 0018503842 scopus 로고
    • Control Procedures for Residuals Associated with Principal Component Analysis
    • Jackson, J. and G. Mudholkar; "Control Procedures for Residuals Associated with Principal Component Analysis, " Technometrics, 21, 341-349 (1979)
    • (1979) Technometrics , vol.21 , pp. 341-349
    • Jackson, J.1    Mudholkar, G.2
  • 36
    • 0017972806 scopus 로고
    • Inferential Control of Processes
    • Joseph, B. and C. Brosilow; "Inferential Control of Processes, " AIChE J., 24, 485-509 (1978)
    • (1978) AIChE J. , vol.24 , pp. 485-509
    • Joseph, B.1    Brosilow, C.2
  • 37
    • 84872899946 scopus 로고    scopus 로고
    • JSPS PSE 143 committee, 28, Tokyo, Japan
    • JSPS PSE 143 committee; Annual Rreport 2003, 28, Tokyo, Japan (2004)
    • (2004) Annual Rreport 2003
  • 38
    • 79954599740 scopus 로고    scopus 로고
    • Local Learning-Based Adaptive Soft Sensor for Catalyst Activation Prediction
    • Kadlec, P. and B. Gabrys; "Local Learning-Based Adaptive Soft Sensor for Catalyst Activation Prediction, " AIChE J., 57, 1288-1301 (2011)
    • (2011) AIChE J. , vol.57 , pp. 1288-1301
    • Kadlec, P.1    Gabrys, B.2
  • 39
    • 67349089877 scopus 로고    scopus 로고
    • Data-Driven Soft Sensors in the Process Industry
    • Kadlec, P., B. Gabrys and S. Strandt; "Data-Driven Soft Sensors in the Process Industry, " Comput. Chem. Eng., 33, 795-814 (2009)
    • (2009) Comput. Chem. Eng. , vol.33 , pp. 795-814
    • Kadlec, P.1    Gabrys, B.2    Strandt, S.3
  • 40
    • 78649468188 scopus 로고    scopus 로고
    • Review of Adaptation Mechanisms for Data-Driven Soft Sensors
    • Kadlec, P., R. Grbic and B. Gabrys; "Review of Adaptation Mechanisms for Data-Driven Soft Sensors, " Comput. Chem. Eng., 35, 1-24 (2011)
    • (2011) Comput. Chem. Eng. , vol.35 , pp. 1-24
    • Kadlec, P.1    Grbic, R.2    Gabrys, B.3
  • 41
    • 2442576927 scopus 로고    scopus 로고
    • Product Quality Estimation and Operating Condition Monitoring for Industrial Ethylene Fractionator
    • Kamohara, H., A. Takinami, M. Takeda, M. Kano, S. Hasebe and I. Hashimoto; "Product Quality Estimation and Operating Condition Monitoring for Industrial Ethylene Fractionator, " J. Chem. Eng. Japan, 37, 422-428 (2004)
    • (2004) J. Chem. Eng. Japan , vol.37 , pp. 422-428
    • Kamohara, H.1    Takinami, A.2    Takeda, M.3    Kano, M.4    Hasebe, S.5    Hashimoto, I.6
  • 42
    • 58449118276 scopus 로고    scopus 로고
    • Development of a New Soft Sensor Method Using Independent Component Analysis and Partial Least Squares
    • Kaneko, H., M. Arakawa and K. Funatsu; "Development of a New Soft Sensor Method Using Independent Component Analysis and Partial Least Squares, " AIChE J., 55, 87-98 (2009)
    • (2009) AIChE J. , vol.55 , pp. 87-98
    • Kaneko, H.1    Arakawa, M.2    Funatsu, K.3
  • 43
    • 35548968908 scopus 로고    scopus 로고
    • Data-Based Process Monitoring, Process Control, and Quality Improvement: Recent Developments and Applications in Steel Industry
    • Kano, M. and Y. Nakagawa; "Data-Based Process Monitoring, Process Control, and Quality Improvement: Recent Developments and Applications in Steel Industry, " Comput. Chem. Eng., 32, 12-24 (2008)
    • (2008) Comput. Chem. Eng. , vol.32 , pp. 12-24
    • Kano, M.1    Nakagawa, Y.2
  • 44
    • 77956444702 scopus 로고    scopus 로고
    • The State of the Art in Chemical Process Control in Japan: Good Practice and Questionnaire Survey
    • Kano, M. and M. Ogawa; "The State of the Art in Chemical Process Control in Japan: Good Practice and Questionnaire Survey, " J. Process Contr., 20, 969-982 (2010)
    • (2010) J. Process Contr. , vol.20 , pp. 969-982
    • Kano, M.1    Ogawa, M.2
  • 45
    • 0033874839 scopus 로고    scopus 로고
    • Inferential Control System of Distillation Compositions Using Dynamic Partial Least Squares Regression
    • Kano, M., K. Miyazaki, S. Hasebe and I. Hashimoto; "Inferential Control System of Distillation Compositions Using Dynamic Partial Least Squares Regression, " J. Process Contr., 10, 157-166 (2000)
    • (2000) J. Process Contr. , vol.10 , pp. 157-166
    • Kano, M.1    Miyazaki, K.2    Hasebe, S.3    Hashimoto, I.4
  • 46
    • 0043268810 scopus 로고    scopus 로고
    • Inferential Control of Distillation Compositions: Selection of Model and Control Configuration
    • Kano, M., N. Showchaiya, S. Hasebe and I. Hashimoto; "Inferential Control of Distillation Compositions: Selection of Model and Control Configuration, " Control Eng. Pract., 11, 927-933 (2003a)
    • (2003) Control Eng. Pract. , vol.11 , pp. 927-933
    • Kano, M.1    Showchaiya, N.2    Hasebe, S.3    Hashimoto, I.4
  • 47
    • 0037394190 scopus 로고    scopus 로고
    • Monitoring Independent Components for Fault Detection
    • Kano, M., S. Tanaka, S. Hasebe, I. Hashimoto and H. Ohno; "Monitoring Independent Components for Fault Detection, " AIChE J., 49, 969-976 (2003b)
    • (2003) AIChE J. , vol.49 , pp. 969-976
    • Kano, M.1    Tanaka, S.2    Hasebe, S.3    Hashimoto, I.4    Ohno, H.5
  • 48
    • 1942468131 scopus 로고    scopus 로고
    • Evolution of Multivariate Statistical Process Control: Application of Independent Component Analysis and External Analysis
    • Kano, M., S. Hasebe, I. Hashimoto and H. Ohno; "Evolution of Multivariate Statistical Process Control: Application of Independent Component Analysis and External Analysis, " Comput. Chem. Eng., 28, 1157-1166 (2004)
    • (2004) Comput. Chem. Eng. , vol.28 , pp. 1157-1166
    • Kano, M.1    Hasebe, S.2    Hashimoto, I.3    Ohno, H.4
  • 49
    • 58749107569 scopus 로고    scopus 로고
    • Two-Stage Subspace Identification for Softsensor Design and Disturbance Estimation
    • Kano, M., S. Lee and S. Hasebe; "Two-Stage Subspace Identification for Softsensor Design and Disturbance Estimation, " J. Process Contr., 19, 179-186 (2009)
    • (2009) J. Process Contr. , vol.19 , pp. 179-186
    • Kano, M.1    Lee, S.2    Hasebe, S.3
  • 50
    • 0001892558 scopus 로고
    • Instance-Based Prediction of Real-Valued Attributes
    • Kibler, D., D. Aha and M. Albert; "Instance-Based Prediction of Real-Valued Attributes, " Comput. Intell., 5, 51-57 (1989)
    • (1989) Comput. Intell. , vol.5 , pp. 51-57
    • Kibler, D.1    Aha, D.2    Albert, M.3
  • 51
    • 81755166220 scopus 로고    scopus 로고
    • Estimation of Active Pharmaceutical Ingredients Content Using Locally Weighted Partial Least Squares and Statistical Wavelength Selection
    • Kim, S., M. Kano, H. Nakagawa and S. Hasebe; "Estimation of Active Pharmaceutical Ingredients Content Using Locally Weighted Partial Least Squares and Statistical Wavelength Selection, " Int. J. Pharm., 421, 269-274 (2011)
    • (2011) Int. J. Pharm. , vol.421 , pp. 269-274
    • Kim, S.1    Kano, M.2    Nakagawa, H.3    Hasebe, S.4
  • 52
    • 0026108818 scopus 로고
    • Multivariate Statistical Monitoring of Process Operating Performance
    • Kresta, J., J. MacGregor and T. Marlin; "Multivariate Statistical Monitoring of Process Operating Performance, " Can. J. Chem. Eng., 69, 35-47 (1991)
    • (1991) Can. J. Chem. Eng. , vol.69 , pp. 35-47
    • Kresta, J.1    McGregor, J.2    Marlin, T.3
  • 53
    • 0028460607 scopus 로고
    • Development of Inferential Process Models Using PLS
    • Kresta, J., T. Marlin and J. MacGregor; "Development of Inferential Process Models Using PLS, " Comput. Chem. Eng., 18, 597-611 (1994)
    • (1994) Comput. Chem. Eng. , vol.18 , pp. 597-611
    • Kresta, J.1    Marlin, T.2    McGregor, J.3
  • 54
    • 1342285571 scopus 로고    scopus 로고
    • Statistical Process Monitoring with Independent Component Analysis
    • Lee, J., C. Yoo and I. Lee; "Statistical Process Monitoring with Independent Component Analysis, " J. Process Contr., 14, 467-485 (2004)
    • (2004) J. Process Contr. , vol.14 , pp. 467-485
    • Lee, J.1    Yoo, C.2    Lee, I.3
  • 55
    • 15944390632 scopus 로고    scopus 로고
    • Weighted Support Vector Machine for Quality Estimation in the Polymerization Process
    • Lee, D., J. Song, S. Song and E. Yoon; "Weighted Support Vector Machine for Quality Estimation in the Polymerization Process, " Ind. Eng. Chem. Res., 44, 2101-2105 (2005)
    • (2005) Ind. Eng. Chem. Res. , vol.44 , pp. 2101-2105
    • Lee, D.1    Song, J.2    Song, S.3    Yoon, E.4
  • 56
    • 4444281062 scopus 로고    scopus 로고
    • Locally Weighted Regression for Desulphurisation Intelligent Decision System Modeling
    • Leung, H., Y. Huang and C. Cao; "Locally Weighted Regression for Desulphurisation Intelligent Decision System Modeling, " Simul. Model. Pract. Theory, 12, 413-423 (2004)
    • (2004) Simul. Model. Pract. Theory , vol.12 , pp. 413-423
    • Leung, H.1    Huang, Y.2    Cao, C.3
  • 57
    • 34147222905 scopus 로고    scopus 로고
    • On-Line Soft Sensor for Polyethylene Process with Multiple Production Grades
    • Liu, J.; "On-Line Soft Sensor for Polyethylene Process with Multiple Production Grades, " Control Eng. Pract., 15, 769-778 (2007)
    • (2007) Control Eng. Pract. , vol.15 , pp. 769-778
    • Liu, J.1
  • 58
    • 78449310514 scopus 로고    scopus 로고
    • Development of Self-Validating Soft Sensors Using Fast Moving Window Partial Least Squares
    • Liu, J., D. Chen and J. Shen; "Development of Self-Validating Soft Sensors Using Fast Moving Window Partial Least Squares, " Ind. Eng. Chem. Res., 49, 11530-11546 (2010)
    • (2010) Ind. Eng. Chem. Res. , vol.49 , pp. 11530-11546
    • Liu, J.1    Chen, D.2    Shen, J.3
  • 59
    • 84863278909 scopus 로고    scopus 로고
    • Development of Interval Soft Sensors Using Enhanced Just-in-Time Learning and Inductive Confidence Predictor
    • Liu, Y., D. Huang and Y. Li; "Development of Interval Soft Sensors Using Enhanced Just-in-Time Learning and Inductive Confidence Predictor, " Ind. Eng. Chem. Res., 51, 3356-3367 (2012)
    • (2012) Ind. Eng. Chem. Res. , vol.51 , pp. 3356-3367
    • Liu, Y.1    Huang, D.2    Li, Y.3
  • 60
    • 0031069121 scopus 로고    scopus 로고
    • The Racing Algorithm: Model Selection for Lazy Learners
    • Maron, D. and A. Moore; "The Racing Algorithm: Model Selection for Lazy Learners, " Artif. Intell. Rev., 11, 193-225 (1997)
    • (1997) Artif. Intell. Rev. , vol.11 , pp. 193-225
    • Maron, D.1    Moore, A.2
  • 61
    • 0026360534 scopus 로고
    • Estimation of Distillation Compositions from Multiple Temperature Measurements Using Partial-Least-Squares Regression
    • Mejdell, T. and S. Skogestad; "Estimation of Distillation Compositions from Multiple Temperature Measurements Using Partial-Least-Squares Regression, " Ind. Eng. Chem. Res., 30, 2543-2555 (1991)
    • (1991) Ind. Eng. Chem. Res. , vol.30 , pp. 2543-2555
    • Mejdell, T.1    Skogestad, S.2
  • 62
    • 0027395620 scopus 로고
    • Output Estimation Using Multiple Secondary Measurements: High-Purity Distillation
    • Mejdell, T. and S. Skogestad; "Output Estimation Using Multiple Secondary Measurements: High-Purity Distillation, " AIChE J., 39, 1641-1653 (1993)
    • (1993) AIChE J. , vol.39 , pp. 1641-1653
    • Mejdell, T.1    Skogestad, S.2
  • 63
    • 0009468619 scopus 로고
    • Selecting Sensor Location and Type for Multivariable Processes
    • Butterworth, Boston, USA
    • Moore, C., J. Hackney and D. Canter; "Selecting Sensor Location and Type for Multivariable Processes, " Shell Process Control Workshop, 291-308, Butterworth, Boston, USA (1987)
    • (1987) Shell Process Control Workshop , pp. 291-308
    • Moore, C.1    Hackney, J.2    Canter, D.3
  • 64
    • 0018998860 scopus 로고
    • Optimal Selection of Secondary Measurements within the Framework of State Estimation in the Presence of Persistent Unknown Disturbances
    • Morari, M. and G. Stephanopoulos; "Optimal Selection of Secondary Measurements within the Framework of State Estimation in the Presence of Persistent Unknown Disturbances, " AIChE J., 26, 247-259 (1980)
    • (1980) AIChE J. , vol.26 , pp. 247-259
    • Morari, M.1    Stephanopoulos, G.2
  • 65
    • 33645417998 scopus 로고    scopus 로고
    • Online Dual Updating with Recursive PLS Model and Its Application in Predicting Crystal Size of Purified Terephthalic Acid (PTA) Process
    • Mu, S., Y. Zeng, R. Liu, P. Wu, H. Su and J. Chu; "Online Dual Updating with Recursive PLS Model and Its Application in Predicting Crystal Size of Purified Terephthalic Acid (PTA) Process, " J. Process Contr., 16, 557-566 (2006)
    • (2006) J. Process Contr. , vol.16 , pp. 557-566
    • Mu, S.1    Zeng, Y.2    Liu, R.3    Wu, P.4    Su, H.5    Chu, J.6
  • 66
    • 70349102828 scopus 로고    scopus 로고
    • Performance of Several Variable-Selection Methods Applied to Real Ecological Data
    • Murtaugh, P. A.; "Performance of Several Variable-Selection Methods Applied to Real Ecological Data, " Ecol. Lett., 12, 1061-1068 (2009)
    • (2009) Ecol. Lett. , vol.12 , pp. 1061-1068
    • Murtaugh, P.A.1
  • 67
    • 1542383676 scopus 로고
    • Locally Weighted Regression and Scatter Correction for Near-Infrared Reflectance Data
    • Naes, T., T. Isaksson and B. Kowalski; "Locally Weighted Regression and Scatter Correction for Near-Infrared Reflectance Data, " Anal. Chem., 62, 664-673 (1990)
    • (1990) Anal. Chem. , vol.62 , pp. 664-673
    • Naes, T.1    Isaksson, T.2    Kowalski, B.3
  • 68
    • 84859911635 scopus 로고    scopus 로고
    • Evaluation of Infrared-Reflection Absorption Spectroscopy Measurement and Locally Weighted Partial Least-Squares for Rapid Analysis of Residual Drug Substances in Cleaning Processes
    • Nakagawa, H., T. Tajima, M. Kano, S. Kim, S. Hasebe, T. Suzuki and H. Nakagami; "Evaluation of Infrared-Reflection Absorption Spectroscopy Measurement and Locally Weighted Partial Least-Squares for Rapid Analysis of Residual Drug Substances in Cleaning Processes, " Anal. Chem., 84, 3820-3826 (2012)
    • (2012) Anal. Chem. , vol.84 , pp. 3820-3826
    • Nakagawa, H.1    Tajima, T.2    Kano, M.3    Kim, S.4    Hasebe, S.5    Suzuki, T.6    Nakagami, H.7
  • 69
    • 0041875229 scopus 로고    scopus 로고
    • On Spectral Clustering: Analysis and an Algorithm
    • Vancouver, Canada
    • Ng, A., M. Jordan and Y. Weiss; "On Spectral Clustering: Analysis and an Algorithm, " Neural Inf. Process. Syst., Vancouver, Canada (2001)
    • (2001) Neural Inf. Process. Syst.
    • Ng, A.1    Jordan, M.2    Weiss, Y.3
  • 70
    • 84862208873 scopus 로고    scopus 로고
    • Localized, Adaptive Recursive Partial Least Squares Regression for Dynamic System Modeling
    • Ni, W., S. Tan, W. Ng and S. Brown; "Localized, Adaptive Recursive Partial Least Squares Regression for Dynamic System Modeling, " Ind. Eng. Chem. Res., 51, 8025-8039 (2012)
    • (2012) Ind. Eng. Chem. Res. , vol.51 , pp. 8025-8039
    • Ni, W.1    Tan, S.2    Ng, W.3    Brown, S.4
  • 71
    • 0033905297 scopus 로고    scopus 로고
    • Interval Partial Least-Squares Regression (iPLS): A Comparative Chemometric Study with an Example from Near-Infrared Spectroscopy
    • Norgaard, L., A. Saudland, J. Wagner, J. Nielsen, L. Munck and S. Engelsen; "Interval Partial Least-Squares Regression (iPLS): A Comparative Chemometric Study with an Example from Near-Infrared Spectroscopy, " Appl. Spectrosc., 54, 413-419 (2000)
    • (2000) Appl. Spectrosc. , vol.54 , pp. 413-419
    • Norgaard, L.1    Saudland, A.2    Wagner, J.3    Nielsen, J.4    Munck, L.5    Engelsen, S.6
  • 72
    • 85054534601 scopus 로고    scopus 로고
    • Selection of Similarity Measure for Locally Weighted Partial Least Squares Regression
    • Minneapolis, USA
    • Okajima, R., S. Kim, M. Kano and S. Hasebe; "Selection of Similarity Measure for Locally Weighted Partial Least Squares Regression, " AIChE Annual Meeting, 669e, Minneapolis, USA (2011)
    • (2011) AIChE Annual Meeting
    • Okajima, R.1    Kim, S.2    Kano, M.3    Hasebe, S.4
  • 73
    • 35548934238 scopus 로고    scopus 로고
    • Operation and Quality Control for Chemical Plants by Soft-sensors
    • Ookita, K.; "Operation and Quality Control for Chemical Plants by Soft-sensors, " CICSJ Bulletin, 24, 31-33 (2006)
    • (2006) CICSJ Bulletin , vol.24 , pp. 31-33
    • Ookita, K.1
  • 74
    • 0028330583 scopus 로고
    • N4SID: Subspace Algorithms for the Identification of Combined Seterministic-Stochastic Systems
    • Overschee, P. and B. Moor; "N4SID: Subspace Algorithms for the Identification of Combined Seterministic-Stochastic Systems, " Automatica, 30, 75-93 (1994)
    • (1994) Automatica , vol.30 , pp. 75-93
    • Overschee, P.1    Moor, B.2
  • 75
    • 79958175889 scopus 로고    scopus 로고
    • A Virtual Metrology Model Based on Recursive Canonical Variate Analysis with Applications to Sputtering Process
    • Pan, T., B. Sheng, D. Wong and S. Jang; "A Virtual Metrology Model Based on Recursive Canonical Variate Analysis with Applications to Sputtering Process, " J. Process Contr., 21, 830-839 (2011)
    • (2011) J. Process Contr. , vol.21 , pp. 830-839
    • Pan, T.1    Sheng, B.2    Wong, D.3    Jang, S.4
  • 76
    • 0032044750 scopus 로고    scopus 로고
    • Recursive PLS Algorithms for Adaptive Data Modeling
    • Qin, S.; "Recursive PLS Algorithms for Adaptive Data Modeling, " Comput. Chem. Eng., 22, 503-514 (1998)
    • (1998) Comput. Chem. Eng. , vol.22 , pp. 503-514
    • Qin, S.1
  • 77
    • 0031139929 scopus 로고    scopus 로고
    • Self-Validating Inferential Sensors with Application to Air Emission Monitoring
    • Qin, S., H. Yue and R. Dunia; "Self-Validating Inferential Sensors with Application to Air Emission Monitoring, " Ind. Eng. Chem. Res., 36, 1675-1685 (1997)
    • (1997) Ind. Eng. Chem. Res. , vol.36 , pp. 1675-1685
    • Qin, S.1    Yue, H.2    Dunia, R.3
  • 79
    • 0030127409 scopus 로고    scopus 로고
    • Statistical Process Monitoring and Disturbance Diagnosis in Multivariable Continuous Processes
    • Raich, A. and A. Cinar; "Statistical Process Monitoring and Disturbance Diagnosis in Multivariable Continuous Processes, " AIChE J., 42, 995-1009 (1996)
    • (1996) AIChE J. , vol.42 , pp. 995-1009
    • Raich, A.1    Cinar, A.2
  • 81
    • 0023952731 scopus 로고    scopus 로고
    • Use of Biased Least-Squares Estimators for Parameters in Discrete-Time Pulse Response Models
    • Ricker, N.; "Use of Biased Least-Squares Estimators for Parameters in Discrete-Time Pulse Response Models, " Ind. Eng. Chem. Res., 27, 343-350 (1998)
    • (1998) Ind. Eng. Chem. Res. , vol.27 , pp. 343-350
    • Ricker, N.1
  • 82
    • 0042553279 scopus 로고
    • Smoothing and Differentiation of Data by Simplified Least Squares Procedures
    • Savitzky, A. and M. Golay; "Smoothing and Differentiation of Data by Simplified Least Squares Procedures, " Anal. Chem., 36, 1627-1639 (1964)
    • (1964) Anal. Chem. , vol.36 , pp. 1627-1639
    • Savitzky, A.1    Golay, M.2
  • 83
    • 36549010396 scopus 로고    scopus 로고
    • Adaptive Soft-Sensors for On-Line Particle Size Estimation in Wet Grinding Circuits
    • Sbarbaro, D., P. Ascencio, P. Espinoza, F. Mujica and G. Cortes; "Adaptive Soft-Sensors for On-Line Particle Size Estimation in Wet Grinding Circuits, " Control Eng. Pract., 16, 171-178 (2008)
    • (2008) Control Eng. Pract. , vol.16 , pp. 171-178
    • Sbarbaro, D.1    Ascencio, P.2    Espinoza, P.3    Mujica, F.4    Cortes, G.5
  • 84
    • 79951722848 scopus 로고    scopus 로고
    • Optimum Quality Design System for Steel Products through Locally Weighted Regression Model
    • Shigemori, H., M. Kano and S. Hasebe; "Optimum Quality Design System for Steel Products through Locally Weighted Regression Model, " J. Process Contr., 21, 293-301 (2011)
    • (2011) J. Process Contr. , vol.21 , pp. 293-301
    • Shigemori, H.1    Kano, M.2    Hasebe, S.3
  • 85
    • 0035415707 scopus 로고    scopus 로고
    • Improvement of Distillation Composition Control by Using Predictive Inferential Control Technique
    • Showchaiya, N., M. Kano, S. Hasebe and I. Hashimoto; "Improvement of Distillation Composition Control by Using Predictive Inferential Control Technique, " J. Chem. Eng. Japan, 34, 1026-1032 (2001)
    • (2001) J. Chem. Eng. Japan , vol.34 , pp. 1026-1032
    • Showchaiya, N.1    Kano, M.2    Hasebe, S.3    Hashimoto, I.4
  • 87
  • 88
    • 84949075045 scopus 로고
    • Subspace Model Identification. I-The Output-Error State-Space Model Identification Class of Algorithms
    • Verhaegen, M. and P. Dewilde; "Subspace Model Identification. I-The Output-Error State-Space Model Identification Class of Algorithms, " Int. J. Control, 56, 1187-1210 (1992)
    • (1992) Int. J. Control , vol.56 , pp. 1187-1210
    • Verhaegen, M.1    Dewilde, P.2
  • 89
    • 0020971577 scopus 로고
    • Identification of Trends in Annual Maximum Sea Levels Using Robust Locally Weighted Regression
    • Walden, A. and P. Prescott; "Identification of Trends in Annual Maximum Sea Levels Using Robust Locally Weighted Regression, " Estuar. Coast. Shelf Sci., 16, 17-26 (1983)
    • (1983) Estuar. Coast. Shelf Sci. , vol.16 , pp. 17-26
    • Walden, A.1    Prescott, P.2
  • 90
    • 0028299952 scopus 로고
    • New Approach for Distance Measurement in Locally Weighted Regression
    • Wang, Z., T. Isaksson and B. Kowalski; "New Approach for Distance Measurement in Locally Weighted Regression, " Anal. Chem., 66, 249-260 (1994)
    • (1994) Anal. Chem. , vol.66 , pp. 249-260
    • Wang, Z.1    Isaksson, T.2    Kowalski, B.3
  • 91
    • 37549068158 scopus 로고    scopus 로고
    • A Review and Comparison of Four Commonly Used Bayesian and Maximum Likelihood Model Selection Tools
    • Ward, E.; "A Review and Comparison of Four Commonly Used Bayesian and Maximum Likelihood Model Selection Tools, " Ecol. Modell., 211, 1-10 (2008)
    • (2008) Ecol. Modell. , vol.211 , pp. 1-10
    • Ward, E.1
  • 92
    • 84984100048 scopus 로고
    • The Use of Secondary Measurements to Improve Control
    • Weber, R. and C. Brosilow; "The Use of Secondary Measurements to Improve Control, " AIChE J., 18, 614-623 (1972)
    • (1972) AIChE J. , vol.18 , pp. 614-623
    • Weber, R.1    Brosilow, C.2
  • 93
    • 0023453889 scopus 로고
    • Computer Control Improves Ethylene Plant Operation
    • Whitehead, D. and M. Parnis; "Computer Control Improves Ethylene Plant Operation, " Hydrocarbon Process., 66, 105-108 (1987)
    • (1987) Hydrocarbon Process. , vol.66 , pp. 105-108
    • Whitehead, D.1    Parnis, M.2
  • 95
    • 2342567014 scopus 로고    scopus 로고
    • Soft Sensing Modeling Based on Support Vector Machine and Bayesian Model Selection
    • Yan, W., H. Shao and X. Wang; "Soft Sensing Modeling Based on Support Vector Machine and Bayesian Model Selection, " Comput. Chem. Eng., 28, 1489-1498 (2004)
    • (2004) Comput. Chem. Eng. , vol.28 , pp. 1489-1498
    • Yan, W.1    Shao, H.2    Wang, X.3
  • 96
    • 84866067015 scopus 로고    scopus 로고
    • Adaptive Decentralized PID Controllers Design Based on the Lyapunov Approach
    • Yang, X., L. Jia and M. S. Chiu; "Adaptive Decentralized PID Controllers Design Based on the Lyapunov Approach, " J. Process Contr., 22, 1531-1542 (2012)
    • (2012) J. Process Contr. , vol.22 , pp. 1531-1542
    • Yang, X.1    Jia, L.2    Chiu, M.S.3
  • 97
    • 0021455228 scopus 로고
    • Use of Multiple Temperatures for the Control of Multicomponent Distillation Columns
    • Yu, C. and W. Luyben; "Use of Multiple Temperatures for the Control of Multicomponent Distillation Columns, " Ind. Eng. Chem. Res., 23, 590-597 (1984)
    • (1984) Ind. Eng. Chem. Res. , vol.23 , pp. 590-597
    • Yu, C.1    Luyben, W.2
  • 98
    • 33645035051 scopus 로고    scopus 로고
    • Model Selection and Estimation in Regression with Grouped Variables
    • Yuan, M. and Y. Lin; "Model Selection and Estimation in Regression with Grouped Variables, " J. R. Stat. Soc. Series B Stat. Methodol., 68, 49-67 (2006)
    • (2006) J. R. Stat. Soc. Series B Stat. Methodol. , vol.68 , pp. 49-67
    • Yuan, M.1    Lin, Y.2
  • 99
    • 0035263882 scopus 로고    scopus 로고
    • Just-in-Time Modeling for Function Prediction and Its Applications
    • Zheng, Q. and H. Kimura; "Just-in-Time Modeling for Function Prediction and Its Applications, " Asian J. Control, 3, 35-44 (2001)
    • (2001) Asian J. Control , vol.3 , pp. 35-44
    • Zheng, Q.1    Kimura, H.2
  • 100
    • 84860111574 scopus 로고    scopus 로고
    • Local Linear Regression for Soft-Sensor Design with Application to an Industrial Deethanizer
    • Milano, Italy
    • Zhu, Z., F. Corona, A. Lendasse, R. Baratti and J. Romagnoli; "Local Linear Regression for Soft-Sensor Design with Application to an Industrial Deethanizer, " The 18th IFAC World Congress, 2839-2844, Milano, Italy (2011)
    • (2011) The 18th IFAC World Congress , pp. 2839-2844
    • Zhu, Z.1    Corona, F.2    Lendasse, A.3    Baratti, R.4    Romagnoli, J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.