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Volumn 12, Issue 5, 2004, Pages 682-687

Robust statistical batch process monitoring framework and its application

Author keywords

Robust multi way principal component analysis; Robust principal component analysis; Robust statistical batch process monitoring; Streptomycin fermentation

Indexed keywords

FERMENTATION; MONITORING; MULTIVARIABLE CONTROL SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; ROBUSTNESS (CONTROL SYSTEMS);

EID: 11144223015     PISSN: 10049541     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (6)

References (16)
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  • 4
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    • A fast algorithm for robust principal components based on projection pursuit
    • Prat A. (ed.), Physica-Verlag, Heidelberg
    • Croux, C., Ruiz-Gazen, A., A fast algorithm for robust principal components based on projection pursuit, In: Computational Statistics, Prat, A., Ed., Physica-Verlag, Heidelberg, 211-216 (1996).
    • (1996) Computational Statistics , pp. 211-216
    • Croux, C.1    Ruiz-Gazen, A.2
  • 5
    • 84951601886 scopus 로고
    • Cross-validation estimation of the number of components in factor and principal component analysis
    • Wold, S., Cross-validation estimation of the number of components in factor and principal component analysis, Technometrics, 20, 397-406 (1978).
    • (1978) Technometrics , vol.20 , pp. 397-406
    • Wold, S.1
  • 7
    • 0001088628 scopus 로고    scopus 로고
    • Principal component analysis based on robust estimation of the covariance or correlation matrix: Influence functions and efficiencies
    • Croux, C., Haesbroeck, G., Principal component analysis based on robust estimation of the covariance or correlation matrix: Influence functions and efficiencies, Biometrika, 87, 603-618 (2000).
    • (2000) Biometrika , vol.87 , pp. 603-618
    • Croux, C.1    Haesbroeck, G.2
  • 9
    • 0001337027 scopus 로고
    • Projection-pursuit approach to robust dispersion matrices and principal component: Primary theory and Monte Carlo
    • Li, G., Chen, Z., Projection-pursuit approach to robust dispersion matrices and principal component: Primary theory and Monte Carlo, J. Am. Stat. Ass., 80, 759-766 (1985).
    • (1985) J. Am. Stat. Ass. , vol.80 , pp. 759-766
    • Li, G.1    Chen, Z.2
  • 10
    • 0029698659 scopus 로고    scopus 로고
    • Robust statistical process monitoring
    • Chen, J., Bandoni, A., Romagnoli, J.A., Robust statistical process monitoring, Comput. Chem. Eng., 20 (suppl.), 497-502 (1996).
    • (1996) Comput. Chem. Eng. , vol.20 , Issue.SUPPL. , pp. 497-502
    • Chen, J.1    Bandoni, A.2    Romagnoli, J.A.3
  • 11
    • 0037185465 scopus 로고    scopus 로고
    • A fast method for robust principal components with Applications to chemometrics
    • Hubert, M., Rousseeuw, P.J., Verboven, S., A fast method for robust principal components with Applications to chemometrics, Chemometr. Intelli. Lab., 60, 101-111 (2002).
    • (2002) Chemometr. Intelli. Lab. , vol.60 , pp. 101-111
    • Hubert, M.1    Rousseeuw, P.J.2    Verboven, S.3
  • 12
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    • Alternatives to the median absolute deviation
    • Rousseeuw, P.J., Croux, C., Alternatives to the median absolute deviation, J. Am. Stat. Ass., 88, 1273-1283 (1993).
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    • Rousseeuw, P.J.1    Croux, C.2
  • 15
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    • Multivariate control limits for individual observations
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    • Tracy, N.D.1    Young, J.C.2    Mason, R.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.