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Volumn 15, Issue 8, 2005, Pages 869-882

Robust multi-scale principal components analysis with applications to process monitoring

Author keywords

Fault detection; PCA; Process monitoring; Robust estimation; Wavelets

Indexed keywords

DATA REDUCTION; MATHEMATICAL MODELS; MATRIX ALGEBRA; PARAMETER ESTIMATION; PROCESS CONTROL; ROBUSTNESS (CONTROL SYSTEMS);

EID: 22344456074     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2005.04.001     Document Type: Article
Times cited : (77)

References (25)
  • 2
    • 22344441643 scopus 로고
    • Statistical process control of process operating performance
    • J. MacGreger Statistical process control of process operating performance Can. J. Chem. Eng. 69 1994 35
    • (1994) Can. J. Chem. Eng. , vol.69 , pp. 35
    • MacGreger, J.1
  • 3
    • 0030530039 scopus 로고    scopus 로고
    • The process chemometrics approach to process monitoring and fault detection
    • B.M. Wise, and N.B. Gallagher The process chemometrics approach to process monitoring and fault detection J. Process Control 6 1996 329
    • (1996) J. Process Control , vol.6 , pp. 329
    • Wise, B.M.1    Gallagher, N.B.2
  • 6
    • 0037443770 scopus 로고    scopus 로고
    • A review of process fault detection and diagnosis, Part I: Quantitative model-based Methods
    • V. Venkatasubramanian, R. Rengaswamy, K. Yin, and S.N. Kavuri A review of process fault detection and diagnosis, Part I: Quantitative model-based Methods Comput. Chem. Eng. 273 2003 293 311
    • (2003) Comput. Chem. Eng. , vol.273 , pp. 293-311
    • Venkatasubramanian, V.1    Rengaswamy, R.2    Yin, K.3    Kavuri, S.N.4
  • 7
    • 0037443803 scopus 로고    scopus 로고
    • A review of process fault detection and diagnosis, Part III Process history based methods
    • V. Venkat, R. Rengaswamy, S.N. Kavuri, and K. Yin A review of process fault detection and diagnosis, Part III Process history based methods Comput. Chem. Eng. 273 2003 327 346
    • (2003) Comput. Chem. Eng. , vol.273 , pp. 327-346
    • Venkat, V.1    Rengaswamy, R.2    Kavuri, S.N.3    Yin, K.4
  • 8
    • 0028483476 scopus 로고
    • Monitoring batch processes using multiway principal conpoments analysis
    • P. Nomikos, and J.F. MacGregor Monitoring batch processes using multiway principal conpoments analysis AIChE J. 40 8 1994 1361
    • (1994) AIChE J. , vol.40 , Issue.8 , pp. 1361
    • Nomikos, P.1    MacGregor, J.F.2
  • 10
    • 0001369487 scopus 로고    scopus 로고
    • Hierarchical multiblock PI and PC models for easier model interpretation and as an alternative to variable selection
    • S. Wold, H. Kettaneh, and K. Tjessem Hierarchical multiblock PI and PC models for easier model interpretation and as an alternative to variable selection J. Chemometrics 10 1996 463
    • (1996) J. Chemometrics , vol.10 , pp. 463
    • Wold, S.1    Kettaneh, H.2    Tjessem, K.3
  • 11
    • 0028892168 scopus 로고
    • Disturbance detection and isolation by dynamic principal components analysis
    • W. Ku, R.H. Storer, and C. Georgakis Disturbance detection and isolation by dynamic principal components analysis Chem. Intell. Lab. Syst. 30 1995 179
    • (1995) Chem. Intell. Lab. Syst. , vol.30 , pp. 179
    • Ku, W.1    Storer, R.H.2    Georgakis, C.3
  • 12
    • 0026113980 scopus 로고
    • Nonlinear principal components analysis using auto-associative neural networks
    • M.A. Kramer Nonlinear principal components analysis using auto-associative neural networks AIChE J. 37 1991 33
    • (1991) AIChE J. , vol.37 , pp. 33
    • Kramer, M.A.1
  • 13
    • 0043015539 scopus 로고    scopus 로고
    • Nonlinear principal components analysis-based on principal curves and neural networks
    • D. Dong, and T.J. McAvoy Nonlinear principal components analysis-based on principal curves and neural networks Comput. Chem. Eng. 20 1996 65
    • (1996) Comput. Chem. Eng. , vol.20 , pp. 65
    • Dong, D.1    McAvoy, T.J.2
  • 14
    • 0028354319 scopus 로고
    • Exponentially weighted moving principal components analysis and projection to latent structures
    • S. Wold Exponentially weighted moving principal components analysis and projection to latent structures Chem. Intell. Lab. Sys. 23 1994 149
    • (1994) Chem. Intell. Lab. Sys. , vol.23 , pp. 149
    • Wold, S.1
  • 15
    • 2142640604 scopus 로고    scopus 로고
    • PCA of wavelet transformed process data for monitoring
    • K.A. Kosanovich, and M. Piovoso PCA of wavelet transformed process data for monitoring Intel. Data Anal. 1 1997 85
    • (1997) Intel. Data Anal. , vol.1 , pp. 85
    • Kosanovich, K.A.1    Piovoso, M.2
  • 16
    • 0032853906 scopus 로고    scopus 로고
    • Wavelets and nonlinear principal components analysis for process monitoring
    • R. Shao, F. Jia, E.B. Martin, and A.J. Morris Wavelets and nonlinear principal components analysis for process monitoring Control Eng. Pract. 7 1999 865 879
    • (1999) Control Eng. Pract. , vol.7 , pp. 865-879
    • Shao, R.1    Jia, F.2    Martin, E.B.3    Morris, A.J.4
  • 17
    • 0032118892 scopus 로고    scopus 로고
    • Multiscale PCA with application to multivariate statistical process monitoring
    • B.R. Bakshi Multiscale PCA with application to multivariate statistical process monitoring AIChE J. 44 1998 1596
    • (1998) AIChE J. , vol.44 , pp. 1596
    • Bakshi, B.R.1
  • 18
    • 0037106519 scopus 로고    scopus 로고
    • Multivariate process monitoring and fault diagnosis by multi-scale PCA
    • M. Misra, H.H. Yue, S. Joe Qin, and C. Ling Multivariate process monitoring and fault diagnosis by multi-scale PCA Comput. Chem. Eng. 26 2002 1281 1293
    • (2002) Comput. Chem. Eng. , vol.26 , pp. 1281-1293
    • Misra, M.1    Yue, H.H.2    Joe Qin, S.3    Ling, C.4
  • 20
    • 0024700097 scopus 로고
    • A theory for multiresolution signal decomposition: The Wavelet representation
    • S.G. Mallat A theory for multiresolution signal decomposition: The Wavelet representation IEEE Trans. Pattern Anal. Mach. Intell. PMAI-11 1989 674
    • (1989) IEEE Trans. Pattern Anal. Mach. Intell. , vol.PMAI-11 , pp. 674
    • Mallat, S.G.1
  • 24
    • 0038649804 scopus 로고    scopus 로고
    • A framework of robust data reconciliation based on a generalized objective function
    • D. Wang, and J.A. Romagnoli A framework of robust data reconciliation based on a generalized objective function Ind. Eng. Chem. Res. 42 13 2003 3075 3084
    • (2003) Ind. Eng. Chem. Res. , vol.42 , Issue.13 , pp. 3075-3084
    • Wang, D.1    Romagnoli, J.A.2
  • 25
    • 0018503842 scopus 로고
    • Control procedures for residuals associated with principal component analysis
    • J.E. Jackson, and G.S. Mudholkar Control procedures for residuals associated with principal component analysis Technometrics 21 1979 341 349
    • (1979) Technometrics , vol.21 , pp. 341-349
    • Jackson, J.E.1    Mudholkar, G.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.