메뉴 건너뛰기




Volumn 48, Issue 24, 2009, Pages 11060-11070

Batch-to-batch steady state identification based on variable correlation and mahalanobis distance

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION EXAMPLES; BATCH PROCESS; CORRELATION STRUCTURE; HISTORY DATA; MAHALANOBIS DISTANCES; MULTIWAY PRINCIPAL COMPONENT ANALYSIS; NON-GAUSSIAN; ON-LINE APPLICATIONS; PROCESS MODELING; SATISFACTORY CONTROL; SIMILARITY FACTORS; STEADY STATE;

EID: 73349131695     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie901107h     Document Type: Article
Times cited : (19)

References (26)
  • 1
    • 30544445406 scopus 로고    scopus 로고
    • Two-dimensional dynamic PCA for batch process monitoring
    • Lu, N.; Yao, Y.; Gao, F.; Wang, F. Two-dimensional dynamic PCA for batch process monitoring. AIChE J. 2005, 51, 3300-3304.
    • (2005) AIChE J. , vol.51 , pp. 3300-3304
    • Lu, N.1    Yao, Y.2    Gao, F.3    Wang, F.4
  • 2
    • 33845516625 scopus 로고    scopus 로고
    • Control and optimization of batch processes: Improvement of process operation in the production of specialty chemicals
    • Bonvin, D.; Srinivasan, B.; Hunkeler, D. Control and optimization of batch processes: Improvement of process operation in the production of specialty chemicals. IEEE Control Syst. Mag. 2006, 26, 34-45.
    • (2006) IEEE Control Syst. Mag. , vol.26 , pp. 34-45
    • Bonvin, D.1    Srinivasan, B.2    Hunkeler, D.3
  • 3
    • 53649088652 scopus 로고    scopus 로고
    • Using unfold-PCA for batch-to-batch start-up process understanding and steady-state identification in a sequencing batch reactor
    • Aguado, D.; Ferrer, A.; Seco, A.; Ferrer, J. Using unfold-PCA for batch-to-batch start-up process understanding and steady-state identification in a sequencing batch reactor. J. Chemom. 2008, 22, 81-90.
    • (2008) J. Chemom. , vol.22 , pp. 81-90
    • Aguado, D.1    Ferrer, A.2    Seco, A.3    Ferrer, J.4
  • 4
    • 0029518117 scopus 로고
    • An efficient method for on-line identification of steady state
    • Cao, S.; Rhinehart, R. An efficient method for on-line identification of steady state. J. Process Control 1995, 5, 363-374.
    • (1995) J. Process Control , vol.5 , pp. 363-374
    • Cao, S.1    Rhinehart, R.2
  • 6
    • 0034281419 scopus 로고    scopus 로고
    • Demonstration of a method for automated steady-state identification in multivariable systems
    • Brown, P.; Rhinehart, R. Demonstration of a method for automated steady-state identification in multivariable systems. Hydrocarbon Process. 2000, 79, 79-83.
    • (2000) Hydrocarbon Process. , vol.79 , pp. 79-83
    • Brown, P.1    Rhinehart, R.2
  • 9
    • 0028892168 scopus 로고
    • Disturbance detection and isolation by dynamic principal component analysis
    • Ku, W.; Storer, R.; Georgakis, C. Disturbance detection and isolation by dynamic principal component analysis. Chemom. Intell. Lab. Syst. 1995, 30, 179-196.
    • (1995) Chemom. Intell. Lab. Syst. , vol.30 , pp. 179-196
    • Ku, W.1    Storer, R.2    Georgakis, C.3
  • 10
    • 0028483476 scopus 로고
    • Monitoring batch processes using multiway principal component analysis
    • Nomikos, P.; MacGregor, J. Monitoring batch processes using multiway principal component analysis. AIChE J. 1994, 40, 1361-1375.
    • (1994) AIChE J. , vol.40 , pp. 1361-1375
    • Nomikos, P.1    MacGregor, J.2
  • 11
    • 0029252734 scopus 로고
    • Multivariate SPC charts for monitoring batch processes
    • Nomikos, P.; MacGregor, J. Multivariate SPC charts for monitoring batch processes. Technometrics 1995, 41-59.
    • (1995) Technometrics , pp. 41-59
    • Nomikos, P.1    MacGregor, J.2
  • 13
    • 0000718672 scopus 로고
    • Distribution of the ratio of the mean square successive difference to the variance
    • Von Neumann, J. Distribution of the ratio of the mean square successive difference to the variance. Ann. Math. Stat. 1941, 367-395.
    • (1941) Ann. Math. Stat. , pp. 367-395
    • Von Neumann, J.1
  • 14
    • 0031126471 scopus 로고    scopus 로고
    • Critical values for a steady state identifier
    • Cao, S.; Rhinehart, R. Critical values for a steady state identifier. J. Process Control 1997, 7, 149-152.
    • (1997) J. Process Control , vol.7 , pp. 149-152
    • Cao, S.1    Rhinehart, R.2
  • 16
    • 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. Ind. Eng. Chem. Res. 2004, 43, 3343-3352. (Pubitemid 38781349)
    • (2004) Industrial and Engineering Chemistry Research , vol.43 , Issue.13 , pp. 3343-3352
    • Lu, N.1    Gao, F.2    Yang, Y.3    Wang, F.4
  • 17
    • 84950659640 scopus 로고
    • Between-groups comparison of principal components
    • Krzanowski, W. Between-groups comparison of principal components. J. Am. Stat. Assoc. 1979, 703-707.
    • (1979) J. Am. Stat. Assoc. , pp. 703-707
    • Krzanowski, W.1
  • 18
    • 0036804076 scopus 로고    scopus 로고
    • Pattern matching in historical batch data using PCA
    • Singhal, A.; Seborg, D. Pattern matching in historical batch data using PCA. IEEE Control Syst. Mag. 2002, 22, 53-63.
    • (2002) IEEE Control Syst. Mag. , vol.22 , pp. 53-63
    • Singhal, A.1    Seborg, D.2
  • 19
    • 6344249065 scopus 로고    scopus 로고
    • Monitoring of processes with multiple operating modes through multiple principle component analysis models
    • Zhao, S.; Zhang, J.; Xu, Y. Monitoring of processes with multiple operating modes through multiple principle component analysis models. Ind. Eng. Chem. Res. 2004, 43, 7025-7035.
    • (2004) Ind. Eng. Chem. Res. , vol.43 , pp. 7025-7035
    • Zhao, S.1    Zhang, J.2    Xu, Y.3
  • 20
    • 64849096132 scopus 로고    scopus 로고
    • Phase and transition based batch process modeling and online monitoring
    • Yao, Y.; Gao, F. Phase and transition based batch process modeling and online monitoring. J. Process Control 2009, 19, 816-826.
    • (2009) J. Process Control , vol.19 , pp. 816-826
    • Yao, Y.1    Gao, F.2
  • 21
    • 3242734772 scopus 로고    scopus 로고
    • Steady-state identification, gross error detection, and data reconciliation for industrial process units
    • Bhat, S.; Saraf, D. Steady-state identification, gross error detection, and data reconciliation for industrial process units. Ind. Eng. Chem. Res. 2004, 43, 4323-4336.
    • (2004) Ind. Eng. Chem. Res. , vol.43 , pp. 4323-4336
    • Bhat, S.1    Saraf, D.2
  • 23
    • 0026191274 scopus 로고
    • Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture
    • Herault, J.; Jutten, C. Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture. Signal Process. 1991, 24, 1-10.
    • (1991) Signal Process. , vol.24 , pp. 1-10
    • Herault, J.1    Jutten, C.2
  • 24
    • 34247109083 scopus 로고    scopus 로고
    • Process monitoring based on independent component analysis-principal component analysis (ICA-PCA) and similarity factors
    • Ge, Z.; Song, Z. Process Monitoring Based on Independent Component Analysis-Principal Component Analysis (ICA-PCA) and Similarity Factors. Ind. Eng. Chem. Res. 2007, 46, 2054-2063.
    • (2007) Ind. Eng. Chem. Res. , vol.46 , pp. 2054-2063
    • Ge, Z.1    Song, Z.2
  • 25
    • 1042268071 scopus 로고    scopus 로고
    • Sub-PCA Modeling and on-line Monitoring Strategy for Batch Processes
    • DOI 10.1002/aic.10024
    • Lu, N.; Gao, F.; Wang, F. Sub-PCA modeling and on-line monitoring strategy for batch processes. AIChE J. 2004, 50, 255-259. (Pubitemid 38197428)
    • (2004) AIChE Journal , vol.50 , Issue.1 , pp. 255-259
    • Lu, N.1    Gao, F.2    Wang, F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.