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Volumn 41, Issue 10, 2002, Pages 2455-2464

Fault detection behavior and performance analysis of principal component analysis based process monitoring methods

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; ERROR DETECTION; PROCESS CONTROL;

EID: 0037093020     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie0007567     Document Type: Article
Times cited : (80)

References (25)
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    • Tong, H.1    Crowe, C.M.2
  • 12
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    • Subspace approach to multidimensional fault identification and reconstruction
    • (1998) AIChE J. , vol.44 , pp. 1813-1831
    • Dunia, R.1    Qin, S.J.2
  • 13
    • 0031644999 scopus 로고    scopus 로고
    • A unified geometric approach to process and sensor fault identification and reconstruction: The unidimensional fault case
    • (1998) Comput. Chem. Eng. , vol.22 , pp. 927-943
    • Dunia, R.1    Qin, S.J.2
  • 14
    • 0033230994 scopus 로고    scopus 로고
    • Selection of the number of principal components: The variance of the reconstruction error criterion with a comparison to other methods
    • (1999) Ind. Eng. Chem. Res. , vol.38 , pp. 4389-4401
    • Valle, S.1    Li, W.2    Qin, S.J.3
  • 15
    • 0032118892 scopus 로고    scopus 로고
    • Multiscale PCA with application to multivariate statistical process monitoring
    • (1998) AIChE J. , vol.44 , pp. 1596-1610
    • Bakshi, B.R.1
  • 19
    • 0033198809 scopus 로고    scopus 로고
    • Detection, identification and reconstruction of faulty sensors with maximized sensitivity
    • (1999) AIChE J. , vol.45 , pp. 1963-1976
    • Qin, S.J.1    Li, W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.