Dimension reduction method of independent component analysis for process monitoring based on minimum mean square error

Journal of Process Control

Volumn 22, Issue 2, 2012, Pages 477-487

  Wang, Jingcheng ^a   Zhang, Yanbin ^a   Cao, Hui ^a   Zhu, Wenzhi ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Dimension reduction; Independent component analysis; Minimum mean square error; Process monitoring

Indexed keywords

ERROR STATISTICS; ERRORS; ESTIMATION; FAULT DETECTION; INDEPENDENT COMPONENT ANALYSIS; INTEGRATED CIRCUITS; MULTIVARIANT ANALYSIS; PROCESS CONTROL; PROCESS MONITORING;

DIMENSION REDUCTION; DIMENSION REDUCTION METHOD; INDEPENDENT COMPONENTS; KERNEL DENSITY ESTIMATION; MINIMUM MEAN SQUARE ERROR (MSE); MINIMUM MEAN SQUARE ERRORS; SQUARED PREDICTION ERRORS; TENNESSEE EASTMAN PROCESS;

MEAN SQUARE ERROR;

EID: 84857191031     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2011.11.005     Document Type: Article

References (27)

1. Chiang L.H., Russell E.L., and Braatz R.D. Fault Detection and Diagnosis in Industrial Systems 2001 Springer-Verlag London
2. Maurya M.R., Rengaswamy R., and Venkatasubramanian V. Fault diagnosis by qualitative trend analysis of the principal components Chem. Eng. Res. Des. 83 9 2005 1122 1132 (Pubitemid 41498615)
3. Choi S.W., Morris J., and Lee I.B. Nonlinear multiscale modelling for fault detection and identification Chem. Eng. Sci. 63 8 2008 2252 2266
4. Yao Y., Chen T., and Gao F.R. Multivariate statistical monitoring of two-dimensional dynamic batch processes utilizing non-Gaussian information J. Process Control. 20 10 2010 1188 1197
5. Bakshi B.R. Multiscale PCA with application to multivariate statistical process monitoring AIChE J. 44 7 1998 1596 1610 (Pubitemid 128768960)
6. Zhang Y.W., and Qin S.J. Improved nonlinear fault detection technique and statistical analysis AIChE J. 54 12 2008 3207 3220
7. Zhang Y.W. Enhanced statistical analysis of nonlinear processes using KPCA, KICA and SVM Chem. Eng. Sci. 64 5 2009 801 811
8. Kermit M., and Tomic O. Independent component analysis applied on gas sensor array measurement data IEEE Sens. J. 3 2 2003 218 228
9. Xiong Li, Liang Jun, and Qian J.X. Multivariate statistical process monitoring of an industrial polypropylene catalyzer reactor with component analysis and kernel density estimatione Chin. J. Chem. Eng. 15 4 2007 524 532
10. Zhang Y.W., and Qin S.J. Fault detection of nonlinear processes using multiway kernel independent component analysis Ind. Eng. Chem. Res. 46 23 2007 7780 7787 (Pubitemid 350158569)
11. Hsu C.C., Chen M.C., and Chen L.S. A novel process monitoring approach with dynamic independent component analysis Control Eng. Pract. 18 3 2010 242 253
12. Li W., and Shi H.B. Multivariate statistical process monitoring using an improved independent component analysis Chem. Eng. Res. Des. 88 2010 403 414
13. Bo C.M., Qiao X., Zhang G.M., Bai Y.J., and Zhang S. An integrated method of independent component analysis and support vector machines for industry distillation process monitoring J. Process Control. 20 10 2010 1133 1140
14. Hyvärinen A., Karhunen J., and Oja E. Independent Component Analysis 2001 John Wiley & Sons New York
15. Li R.F., and Wang X.Z. Dimension reduction of process dynamic trends using independent component analysis Comput. Chem. Eng. 26 3 2002 467 473 (Pubitemid 34246502)
16. Kano M., Tanaka S., Hasebe S., Hashimoto I., and Ohno H. Monitoring independent components for fault detection AIChE J. 49 4 2003 969 976 (Pubitemid 36504561)
17. Kano M., Hasebe S., Hashimoto I., and Ohno H. Evolution of multivariate statistical process control: application of independent component analysis and external analysis Comput. Chem. Eng. 28 6-7 2004 1157 1166 (Pubitemid 38520966)
18. Lee J.M., Qin S.J., and Lee I.B. Fault detection and diagnosis based on modified independent component analysis AIChE J. 52 10 2006 3501 3514 (Pubitemid 44519578)
19. Back A.D., and Weigend A.S. A first application of independent component annalysis to extracting structure from stocks returns Int. J. Neural Syst. 8 1997 473 484
20. Hyvärinen A. Survey on independent component analysis Neural Comput. Surv. 2 1999 94 128
21. Lee J.M., Yoo C.K., and Lee I.B. Statistical monitoring of dynamic processes based on dynamic independent component analysis Chem. Eng. Sci. 59 14 2004 2995 3006 (Pubitemid 38814612)
22. Lee J.M., Yoo C.K., and Lee I.B. Statistical process monitoring with independent component analysis J. Process Control. 14 5 2004 467 485
23. Liu X.Q., Xie L., Kruger U., Littler T., and Wang S.Q. Statistical-based monitoring of multivariate non-Gaussian systems AIChE J. 54 9 2008 2379 2391
24. Cheung Y.M., and Xu L. Independent component ordering in ICA time series analysis Neurocomputing 41 2001 145 152
25. Ge Z.Q., and Song Z.H. Process monitoring based on independent component analysis-principal component analysis (ICA-PCA) and similarity factors Ind. Eng. Chem. Res. 46 7 2007 2054 2063
26. Silverman B.W. Density Estimation for Statistics and Data Analysis 1986 Chapman & Hall UK
27. Wang J.C., Zhu W.Z., Si G.Q., and Zhang Y.B. Feature extraction in ball mill pulverizing system based on multi-sensor data fusion International Conference on Computer Science and Software Engineering 2008 Wuhan China