Statistical monitoring of dynamic processes based on dynamic independent component analysis

作者: Jong-Min Lee , ChangKyoo Yoo , In-Beum Lee

DOI: 10.1016/J.CES.2004.04.031

关键词:

摘要: Most multivariate statistical monitoring methods based on principal component analysis (PCA) assume implicitly that the observations at one time are statistically independent of …

参考文章(33)
Te-Won Lee, Independent component analysis: theory and applications Kluwer Academic Publishers. ,(1998)
Erkki Oja, Aapo Hyvarinen, Juha Karhunen, Independent Component Analysis ,(2001)
P.R. Lyman, C. Georgakis, Plant-wide control of the Tennessee Eastman problem Computers & Chemical Engineering. ,vol. 19, pp. 321- 331 ,(1995) , 10.1016/0098-1354(94)00057-U
F. Tsung, Statistical monitoring and diagnosis of automatic controlled processes using dynamic PCA International Journal of Production Research. ,vol. 38, pp. 625- 637 ,(2000) , 10.1080/002075400189338
Leo H Chiang, Evan L Russell, Richard D Braatz, Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis Chemometrics and Intelligent Laboratory Systems. ,vol. 50, pp. 243- 252 ,(2000) , 10.1016/S0169-7439(99)00061-1
Antoine Negiz, Ali Çlinar, Statistical monitoring of multivariable dynamic processes with state-space models Aiche Journal. ,vol. 43, pp. 2002- 2020 ,(1997) , 10.1002/AIC.690430810
James V. Kresta, John F. Macgregor, Thomas E. Marlin, Multivariate statistical monitoring of process operating performance Canadian Journal of Chemical Engineering. ,vol. 69, pp. 35- 47 ,(1991) , 10.1002/CJCE.5450690105
Bhavik R. Bakshi, Multiscale PCA with application to multivariate statistical process monitoring Aiche Journal. ,vol. 44, pp. 1596- 1610 ,(1998) , 10.1002/AIC.690440712
Rongfu Luo, Manish Misra, David M. Himmelblau, Sensor Fault Detection via Multiscale Analysis and Dynamic PCA Industrial & Engineering Chemistry Research. ,vol. 38, pp. 1489- 1495 ,(1999) , 10.1021/IE980557B