A unified statistical framework for monitoring multivariate systems with unknown source and error signals

[1]  Lei Xie,et al.  Statistical‐based monitoring of multivariate non‐Gaussian systems , 2008 .

[2]  In-Beum Lee,et al.  Fault detection and diagnosis based on modified independent component analysis , 2006 .

[3]  Theodora Kourti,et al.  Application of latent variable methods to process control and multivariate statistical process control in industry , 2005 .

[4]  Michael S. Dudzic,et al.  An industrial perspective on implementing on-line applications of multivariate statistics , 2004 .

[5]  ChangKyoo Yoo,et al.  Statistical process monitoring with independent component analysis , 2004 .

[6]  Manabu Kano,et al.  Evolution of multivariate statistical process control: application of independent component analysis and external analysis , 2004, Comput. Chem. Eng..

[7]  S. Joe Qin,et al.  Statistical process monitoring: basics and beyond , 2003 .

[8]  Raghunathan Rengaswamy,et al.  A review of process fault detection and diagnosis: Part III: Process history based methods , 2003, Comput. Chem. Eng..

[9]  I. J. Myung,et al.  Tutorial on maximum likelihood estimation , 2003 .

[10]  I. Jolliffe Principal Component Analysis , 2002 .

[11]  S. Qin,et al.  Selection of the Number of Principal Components: The Variance of the Reconstruction Error Criterion with a Comparison to Other Methods† , 1999 .

[12]  John F. MacGregor,et al.  Multivariate SPC charts for monitoring batch processes , 1995 .

[13]  Nola D. Tracy,et al.  Multivariate Control Charts for Individual Observations , 1992 .

[14]  J. Edward Jackson,et al.  A User's Guide to Principal Components. , 1991 .

[15]  Thomas Kailath,et al.  Detection of signals by information theoretic criteria , 1985, IEEE Trans. Acoust. Speech Signal Process..

[16]  J. E. Jackson,et al.  Control Procedures for Residuals Associated With Principal Component Analysis , 1979 .

[17]  T. W. Anderson,et al.  An Introduction to Multivariate Statistical Analysis , 1959 .

[18]  P. D. Wentzell,et al.  Other Topics in Soft-Modeling: Maximum Likelihood-Based Soft-Modeling Methods-2.25 , 2009 .

[19]  Robert P. W. Duin,et al.  Support Vector Data Description , 2004, Machine Learning.

[20]  Sirish L. Shah,et al.  Model Identification and Error Covariance Matrix Estimation from Noisy Data Using PCA , 2004 .

[21]  Michael E. Tipping,et al.  Probabilistic Principal Component Analysis , 1999 .

[22]  B. Kowalski,et al.  Partial least-squares regression: a tutorial , 1986 .

[23]  G. Golub Matrix computations , 1983 .