메뉴 건너뛰기




Volumn 50, Issue 11, 2011, Pages 6837-6848

Global-local structure analysis model and its application for fault detection and identification

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN INFERENCE; DATA SETS; DIMENSION REDUCTION; FAULT DETECTION AND IDENTIFICATION; FAULT IDENTIFICATIONS; GLOBAL DATA; GLOBAL-LOCAL; LOCAL STRUCTURE; LOCALITY PRESERVING PROJECTIONS; OPTIMIZATION FUNCTION; ORTHOGONAL PROPERTY; PCA METHOD; SINGULARITY PROBLEMS; STRUCTURE ANALYSIS; TUNING PARAMETER; UNIFIED FRAMEWORK;

EID: 79959985541     PISSN: 08885885     EISSN: 15205045     Source Type: Journal    
DOI: 10.1021/ie102564d     Document Type: Article
Times cited : (173)

References (37)
  • 1
    • 0026108818 scopus 로고
    • Multivariate statistical monitoring of process operating performance
    • Kresta, J.; MacGregor, J. F.; Marlin, T. Multivariate statistical monitoring of process operating performance. Can. J. Chem. Eng. 1991, 69, 35-47.
    • (1991) Can. J. Chem. Eng. , vol.69 , pp. 35-47
    • Kresta, J.1    MacGregor, J.F.2    Marlin, T.3
  • 3
    • 0037084628 scopus 로고    scopus 로고
    • Comparison of multivariate statistical process monitoring methods with applications to the Eastman challenge problem
    • DOI 10.1016/S0098-1354(01)00738-4, PII S0098135401007384
    • Kano, M.; Nagao, K.; Hasebe, H.; Hashimoto, I; Ohno, H.; Strauss, R.; Bakshi, B. R. Comparison of multivariate statistical process monitoring methods with applications to the Eastman challenge problem. Comput. Chem. Eng. 2002, 26, 161-174. (Pubitemid 34211482)
    • (2002) Computers and Chemical Engineering , vol.26 , Issue.2 , pp. 161-174
    • Kano, M.1    Nagao, K.2    Hasebe, S.3    Hashimoto, I.4    Ohno, H.5    Strauss, R.6    Bakshi, B.R.7
  • 4
    • 0037443803 scopus 로고    scopus 로고
    • A review of process fault detection and diagnosis part III: Process history based methods
    • DOI 10.1016/S0098-1354(02)00162-X, PII S009813540200162X
    • Venkatasubramanian, V.; Rengaswamy, R.; Kavuri, S. N.; Yin, K. A review of process fault detection and diagnosis. Part III: Process history based methods. Comput. Chem. Eng. 2003, 27, 327-346. (Pubitemid 36285964)
    • (2003) Computers and Chemical Engineering , vol.27 , Issue.3 , pp. 327-346
    • Venkatasubramanian, V.1    Rengaswamy, R.2    Kavuri, S.N.3    Yin, K.4
  • 5
    • 63249084878 scopus 로고    scopus 로고
    • Improved kernel PCA-based monitoring approach for nonlinear processes
    • Ge, Z. Q.; Yang, C. J.; Song, Z. H. Improved kernel PCA-based monitoring approach for nonlinear processes. Chem. Eng. Sci. 2009, 64, 2245-2255.
    • (2009) Chem. Eng. Sci. , vol.64 , pp. 2245-2255
    • Ge, Z.Q.1    Yang, C.J.2    Song, Z.H.3
  • 6
    • 6344249065 scopus 로고    scopus 로고
    • Monitoring of processes with multiple operating modes through multiple principle component analysis models
    • Zhao, S. J.; Zhang, J.; Xu, Y. M. Monitoring of processes with multiple operation modes through multiple principle component analysis models. Ind. Eng. Chem. Res. 2004, 43, 7025-7035. (Pubitemid 39403289)
    • (2004) Industrial and Engineering Chemistry Research , vol.43 , Issue.22 , pp. 7025-7035
    • Zhao, S.J.1    Zhang, J.2    Xu, Y.M.3
  • 7
    • 0242354134 scopus 로고    scopus 로고
    • Statistical process monitoring: Basics and beyond
    • Qin, S. J. Statistical process monitoring: basics and beyond. J. Chemom. 2003, 17, 480-502.
    • (2003) J. Chemom. , vol.17 , pp. 480-502
    • Qin, S.J.1
  • 8
    • 0001710505 scopus 로고
    • Analysis of a complex of statistical variables into principal components
    • Hotelling, H. Analysis of a complex of statistical variables into principal components. J. Educ. Psychol. 1933, 24, 417-441.
    • (1933) J. Educ. Psychol. , vol.24 , pp. 417-441
    • Hotelling, H.1
  • 9
    • 0028825273 scopus 로고
    • Multi-way partial least square in monitoring batch processes
    • Nomikos, P.; MacGregor, J. F. Multi-way partial least square in monitoring batch processes. Chem. Intell. Lab. Syst. 1995, 30, 97-108.
    • (1995) Chem. Intell. Lab. Syst. , vol.30 , pp. 97-108
    • Nomikos, P.1    MacGregor, J.F.2
  • 10
    • 33644845406 scopus 로고    scopus 로고
    • Reduced PCR/PLSR models by subspace projections
    • DOI 10.1016/j.chemolab.2005.09.008, PII S016974390500153X
    • Ergon, R. Reduced PCR/PLSR models by subspace projections. Chem. Intell. Lab. Syst. 2006, 81, 68-73. (Pubitemid 43363450)
    • (2006) Chemometrics and Intelligent Laboratory Systems , vol.81 , Issue.1 , pp. 68-73
    • Ergon, R.1
  • 11
    • 54949117106 scopus 로고    scopus 로고
    • Diagnosis of process faults in chemical systems using a local partial least squares approach
    • Kruger, U.; Dimitriadis, G. Diagnosis of process faults in chemical systems using a local partial least squares approach. AIChE J. 2008, 54, 2581-2596.
    • (2008) AIChE J. , vol.54 , pp. 2581-2596
    • Kruger, U.1    Dimitriadis, G.2
  • 13
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • DOI 10.1126/science.290.5500.2319
    • Tenenbaum, J. B.; Silva, V.; Langford, J. C. A global geometric framework for nonlinear dimensionality reduction. Science 2000, 290, 2319-2323. (Pubitemid 32041577)
    • (2000) Science , vol.290 , Issue.5500 , pp. 2319-2323
    • Tenenbaum, J.B.1    De Silva, V.2    Langford, J.C.3
  • 14
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • DOI 10.1126/science.290.5500.2323
    • Roweis, S. T.; Saul, L. K. Nonlinear dimensionality reduction by locally linear embedding. Science 2000, 290, 2323-2326. (Pubitemid 32041578)
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 15
    • 84880203756 scopus 로고    scopus 로고
    • Laplacian eigenmaps and spectral techniques for embedding and clustering
    • Belkin, M.; Niyogi, P. Laplacian eigenmaps and spectral techniques for embedding and clustering. Neural Inform. Process. Syst. 2002, 1, 585-592.
    • (2002) Neural Inform. Process. Syst. , vol.1 , pp. 585-592
    • Belkin, M.1    Niyogi, P.2
  • 17
    • 30344483178 scopus 로고    scopus 로고
    • Document clustering using locality preserving indexing
    • DOI 10.1109/TKDE.2005.198
    • Cai, D.; He, X.; Han, J. Document Clustering using Locality Preserving Indexing. IEEE Trans. Knowledge Data Eng. 2005, 17, 1624-1637. (Pubitemid 43060413)
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.12 , pp. 1624-1637
    • Cai, D.1    He, X.2    Han, J.3
  • 18
    • 44649092618 scopus 로고    scopus 로고
    • Multivariate statistical process control based on multiway locality preserving projections
    • Hu, K. L.; Yuan, J. Q. Multivariate statistical process control based on multiway locality preserving projections. J. Process Control 2008, 18, 797-807.
    • (2008) J. Process Control , vol.18 , pp. 797-807
    • Hu, K.L.1    Yuan, J.Q.2
  • 19
    • 61749100891 scopus 로고    scopus 로고
    • Generalized orthogonal locality preserving projections for nonlinear fault detection and diagnosis
    • Shao, J. D.; Rong, G.; Lee, J. M. Generalized orthogonal locality preserving projections for nonlinear fault detection and diagnosis. Chem. Intell. Lab. Syst. 2009, 96, 75-83.
    • (2009) Chem. Intell. Lab. Syst. , vol.96 , pp. 75-83
    • Shao, J.D.1    Rong, G.2    Lee, J.M.3
  • 20
    • 0032118892 scopus 로고    scopus 로고
    • Multiscale PCA with application to multivariate statistical process monitoring
    • Bakshi, B. R. Multiscale PCA with applications to multivariate statistical process monitoring. AIChE J. 1998, 44, 1596-1610. (Pubitemid 128768960)
    • (1998) AIChE Journal , vol.44 , Issue.7 , pp. 1596-1610
    • Bakshi, B.R.1
  • 22
    • 33745881038 scopus 로고    scopus 로고
    • Neighborhood preserving embedding
    • 1544858, Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005
    • He, X.; Cai, D.; Yan, S.; Zhang, H. J. Neighborhood preserving embedding. In Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), Vol. 2; IEEE: Piscataway, NJ, 2005; pp 1208-1213. (Pubitemid 44042318)
    • (2005) Proceedings of the IEEE International Conference on Computer Vision , vol.II , pp. 1208-1213
    • He, X.1    Cai, D.2    Yan, S.3    Zhang, H.-J.4
  • 24
    • 77955796384 scopus 로고    scopus 로고
    • An improved independent component regression modeling and quantitative calibration procedure
    • Zhao, C. H.; Gao, F. R.; Wang, F. L. An Improved Independent Component Regression Modeling and Quantitative Calibration Procedure. AIChE J. 2010, 56, 1519-1535.
    • (2010) AIChE J. , vol.56 , pp. 1519-1535
    • Zhao, C.H.1    Gao, F.R.2    Wang, F.L.3
  • 25
    • 33746916014 scopus 로고    scopus 로고
    • Face recognition using kernel scatter-difference-based discriminant analysis
    • DOI 10.1109/TNN.2006.875970
    • Liu, Q.; Tang, X.; Lu, H.; Ma, S. Face Recognition Using Kernel Scatter-Difference-Based Discriminant Analysis. IEEE Trans. Neural Network 2006, 17, 1081-1085. (Pubitemid 44194165)
    • (2006) IEEE Transactions on Neural Networks , vol.17 , Issue.4 , pp. 1081-1085
    • Liu, Q.1    Tang, X.2    Lu, H.3    Ma, S.4
  • 26
    • 33750378734 scopus 로고    scopus 로고
    • Orthogonal laplacianfaces for face recognition
    • DOI 10.1109/TIP.2006.881945
    • Cai, D.; He, X.; Han, J.; Zhang, J. Orthogonal Laplacian Faces for Face Recognition. IEEE Trans. Image Process 2006, 15, 3608-3614. (Pubitemid 44615155)
    • (2006) IEEE Transactions on Image Processing , vol.15 , Issue.11 , pp. 3608-3614
    • Cai, D.1    He, X.2    Han, J.3    Zhang, H.-J.4
  • 27
    • 24644513146 scopus 로고    scopus 로고
    • Ph.D dissertation, The University of Chicago, Chicago, IL, USA
    • He, X. Locality preserving projections. Ph.D dissertation, The University of Chicago, Chicago, IL, USA, 2005.
    • (2005) Locality Preserving Projections
    • He, X.1
  • 28
    • 0034621628 scopus 로고    scopus 로고
    • Generalized contribution plots in multivariate statistical process monitoring
    • DOI 10.1016/S0169-7439(00)00062-9, PII S0169743900000629
    • Westerhuis, J. A.; Gurden, S. P.; Smilde, A. K. Generalized contribution plots in multivariate statistical process monitoring. Chem. Intell. Lab. Syst. 2000, 51, 95-114. (Pubitemid 30251933)
    • (2000) Chemometrics and Intelligent Laboratory Systems , vol.51 , Issue.1 , pp. 95-114
    • Westerhuis, J.A.1    Gurden, S.P.2    Smilde, A.K.3
  • 29
    • 72249099895 scopus 로고    scopus 로고
    • Multimode process monitoring based on Bayesian method
    • Ge, Z. Q.; Song, Z. H. Multimode process monitoring based on Bayesian method. J. Chemom. 2009, 23, 636-650.
    • (2009) J. Chemom. , vol.23 , pp. 636-650
    • Ge, Z.Q.1    Song, Z.H.2
  • 30
    • 33847374231 scopus 로고    scopus 로고
    • Linear local tangent space alignment and application to face recognition
    • DOI 10.1016/j.neucom.2006.11.007, PII S0925231206004577, Advances in Computational Intelligence and Learning 14th European Symposium on Artificial Neural Networks 2006
    • Zhang, T.; Yang, J.; Zhao, D.; Ge, X. Linear local tangent space alignment and application to face recognition. Neurocomputing 2007, 70, 1547-1553. (Pubitemid 46336768)
    • (2007) Neurocomputing , vol.70 , Issue.7-9 , pp. 1547-1553
    • Zhang, T.1    Yang, J.2    Zhao, D.3    Ge, X.4
  • 31
    • 2342517502 scopus 로고    scopus 로고
    • Think globally, fit locally: Unsupervised learning of low dimensional manifolds
    • Saul, L. K.; Roweis, S. T. Think globally, fit locally: unsupervised learning of low dimensional manifolds. J. Mach. Learn. Res. 2003, 4, 119-155.
    • (2003) J. Mach. Learn. Res. , vol.4 , pp. 119-155
    • Saul, L.K.1    Roweis, S.T.2
  • 32
    • 0027561446 scopus 로고
    • A plant-wide industrial process control problem
    • Downs, J. J.; Vogel, E. F. A plant-wide industrial process control problem. Comput. Chem. Eng. 1993, 17, 245-255.
    • (1993) Comput. Chem. Eng. , vol.17 , pp. 245-255
    • Downs, J.J.1    Vogel, E.F.2
  • 33
    • 0029256836 scopus 로고
    • Plant-wide control of the tennessee eastman problem
    • Lyman, P. R.; Georgakist, C. Plant-wide Control of the Tennessee Eastman Problem. Comput. Chem. Eng. 1995, 19, 321-331.
    • (1995) Comput. Chem. Eng. , vol.19 , pp. 321-331
    • Lyman, P.R.1    Georgakist, C.2
  • 35
    • 34247109083 scopus 로고    scopus 로고
    • Process monitoring based on independent component analysis-principal component analysis (ICA-PCA) and similarity factors
    • Ge, Z. Q.; Song, Z. H. 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.Q.1    Song, Z.H.2
  • 36
    • 0034621334 scopus 로고    scopus 로고
    • Fault detection in industrial processes using canonical variate analysis and dynamic principal component analysis
    • DOI 10.1016/S0169-7439(00)00058-7, PII S0169743900000587
    • Russell, E.; Chiang, L.; Braatz, R. Fault Detection in Industrial Processes Using Canonical Variate Analysis and Dynamic Principal Component Analysis. Chem. Intell. Lab. Syst. 2000, 51, 81-93. (Pubitemid 30251932)
    • (2000) Chemometrics and Intelligent Laboratory Systems , vol.51 , Issue.1 , pp. 81-93
    • Russell, E.L.1    Chiang, L.H.2    Braatz, R.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.