Statistical process monitoring with independent component analysis

Journal of Process Control - Tập 14 Số 5 - Trang 467-485 - 2004
Jong‐Min Lee1, ChangKyoo Yoo2, In−Beum Lee1
1Department of Chemical Engineering, Pohang University of Science and Technology, San 31 Hyoja-Dong, Pohang 790-784, South Korea
2BIOMATH, Ghent University, Coupure Links 653, B-9000 Gent, Belgium

Tóm tắt

Từ khóa


Tài liệu tham khảo

Cardoso, 1998, Blind signal separation: statistical principles, Proc. IEEE, 86, 2009, 10.1109/5.720250

Comon, 1994, Independent component analysis, a new concept, Signal Process., 36, 287, 10.1016/0165-1684(94)90029-9

Nomikos, 1994, Monitoring batch processes using multiway principal component analysis, AIChE J., 40, 1361, 10.1002/aic.690400809

Ku, 1995, Disturbance detection and isolation by dynamic principal component analysis, Chemom. Intell. Lab. Syst., 30, 179, 10.1016/0169-7439(95)00076-3

Wise, 1996, The process chemometrics approach to process monitoring and fault detection, J. Process Control, 6, 329, 10.1016/0959-1524(96)00009-1

Dong, 1996, Nonlinear principal component analysis-based on principal curves and neural networks, Comp. Chem. Eng., 20, 65, 10.1016/0098-1354(95)00003-K

Bakshi, 1998, Multiscale PCA with application to multivariate statistical process monitoring, AICHE J., 44, 1596, 10.1002/aic.690440712

Rosen, 1998, Disturbance detection in wastewater treatment plants, Water Sci. Technol., 37, 197, 10.1016/S0273-1223(98)00372-2

P. Teppola, Multivariate process monitoring of sequential process data––a chemometric approach, Ph.D. thesis, Lappeenranta Univ. of Tech., Finland, 1999

Li, 2000, Recursive PCA for adaptive process monitoring, J. Process Control, 10, 471, 10.1016/S0959-1524(00)00022-6

Hyvärinen, 2000, Independent component analysis: algorithms and applications, Neural Networks, 13, 411, 10.1016/S0893-6080(00)00026-5

Lee, 1998

Jackson, 1979, Control procedures for residuals associated with principal component analysis, Technometrics, 21, 341, 10.2307/1267757

Vigário, 1997, Extraction of ocular artifacts from EEG using independent component analysis, Electroencephal. Clinical Neurophysiol., 103, 395, 10.1016/S0013-4694(97)00042-8

Hastie, 2001

Hyvärinen, 1998, New approximations of differential entropy for independent component analysis and projection pursuit, Adv. Neural Inform. Process. Syst., 10, 273

Hyvärinen, 1999, Fast and robust fixed-point algorithms for independent component analysis, IEEE Trans. Neural Networks, 10, 626, 10.1109/72.761722

Hyvärinen, 1999, Survey on independent component analysis, Neural Comput. Surveys, 2, 94

Hyvärinen, 2001

Li, 2002, Dimension reduction of process dynamic trends using independent component analysis, Comp. Chem. Eng., 26, 467, 10.1016/S0098-1354(01)00773-6

Cheung, 1999, An empirical method to select dominant independent components in ICA time series analysis, Proc. Int. Joint Conf. Neural Networks, 3883, 10.1109/IJCNN.1999.830775

Back, 1997, A first application of independent component analysis to extracting structure from stock returns, Int. J. Neural Sys., 8, 473, 10.1142/S0129065797000458

Cardoso, 1993, Blind beamforming for non-Gaussian signals, IEEE Proc. F, 140, 362

Cheung, 2001, Independent component ordering in ICA time series analysis, Neurocomputing, 41, 145, 10.1016/S0925-2312(00)00358-1

Simoglou, 2002, Statistical performance monitoring of dynamic multivariate process using state space modeling, Comp. Chem. Eng., 26, 909, 10.1016/S0098-1354(02)00012-1

Martin, 1996, Non-parametric confidence bounds for process performance monitoring charts, J. Process Control, 6, 349, 10.1016/0959-1524(96)00010-8

Chen, 2000, The application of principal component analysis and kernel density estimation to enhance process monitoring, Control Eng. Pract., 8, 531, 10.1016/S0967-0661(99)00191-4

Silverman, 1986

Wand, 1995

MacGregor, 1994, Process monitoring and diagnosis by multiblock PLS methods, AIChE J., 40, 826, 10.1002/aic.690400509

C. Rosen, Monitoring wastewater treatment systems, MS Thesis, Lund Univ., Sweden, 1998

Westerhuis, 2000, Generalized contribution plots in multivariate statistical process monitoring, Chemom. Intell. Lab. Syst., 51, 95, 10.1016/S0169-7439(00)00062-9

Teppola, 1998, Principal component analysis, contribution plots and feature weights in the monitoring of sequential process data from a paper machine’s wet end, Chemom. Intell. Lab. Syst., 44, 307, 10.1016/S0169-7439(98)00188-9

C.K. Yoo, Process monitoring and control of biological wastewater treatment process, Ph.D. Thesis, POSTECH, Korea, 2002

M.N. Pons, H. Spanjers, U. Jeppsson, Towards a benchmark for evaluating control strategies in wastewater treatment plants by simulation, Escape 9, Budapest, 1999

Yoo, 2002, Dynamic monitoring method for multiscale fault detection and diagnosis in MSPC, Ind. Eng. Chem. Res., 41, 4303, 10.1021/ie0105730