Statistical process and controller performance monitoring. A tutorial on current methods and future directions
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Ali Cinar | Cenk Undey | C. Undey | A. Cinar
[1] John F. MacGregor,et al. Multivariate SPC charts for monitoring batch processes , 1995 .
[2] Karlene A. Kosanovich,et al. Improved Process Understanding Using Multiway Principal Component Analysis , 1996 .
[3] A. Negiz,et al. Statistical monitoring of multivariable dynamic processes with state-space models , 1997 .
[4] Barry M. Wise,et al. The process chemometrics approach to process monitoring and fault detection , 1995 .
[5] Ali Cinar,et al. Controller performance assessment by frequency domain techniques , 1997 .
[6] L. E. Wangen,et al. A multiblock partial least squares algorithm for investigating complex chemical systems , 1989 .
[7] A. Çinar,et al. PLS, balanced, and canonical variate realization techniques for identifying VARMA models in state space , 1997 .
[8] F. Alt,et al. Choosing principal components for multivariate statistical process control , 1996 .
[9] Theodora Kourti,et al. Process analysis, monitoring and diagnosis, using multivariate projection methods , 1995 .
[10] I. Jolliffe. Principal Component Analysis and Factor Analysis , 1986 .
[11] W. Larimore. System Identification, Reduced-Order Filtering and Modeling via Canonical Variate Analysis , 1983, 1983 American Control Conference.
[12] T. W. Anderson. An Introduction to Multivariate Statistical Analysis , 1959 .
[13] Alf Isaksson,et al. A modified index for control performance assessment , 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).
[14] Ali Cinar,et al. Intelligent process monitoring by interfacing knowledge-based systems and multivariate statistical monitoring , 2000 .
[15] John F. MacGregor,et al. Multi-way partial least squares in monitoring batch processes , 1995 .
[16] R. Russell Rhinehart. A watchdog for controller performance monitoring , 1995, Proceedings of 1995 American Control Conference - ACC'95.
[17] Nf F. Thornhill,et al. Performance assessment and diagnosis of refinery control loops , 1998 .
[18] A. J. Morris,et al. Comparison of Methods for Handling Unequal Length Batches , 1998 .
[19] Aaron E. Rosenberg,et al. Performance tradeoffs in dynamic time warping algorithms for isolated word recognition , 1980 .
[20] Aaron E. Rosenberg,et al. Considerations in dynamic time warping algorithms for discrete word recognition , 1978 .
[21] S. Wold,et al. The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses , 1984 .
[22] Thomas E. Marlin,et al. Multivariate statistical monitoring of process operating performance , 1991 .
[23] S. Chiba,et al. Dynamic programming algorithm optimization for spoken word recognition , 1978 .
[24] Ferhan Kayihan,et al. Full CD Profile Control of Sheet Forming Processes using Adaptive PCA and Reduced Order MPC Design , 1997 .
[25] Richard A. Johnson,et al. Applied Multivariate Statistical Analysis , 1983 .
[26] B. Everitt,et al. Three-Mode Principal Component Analysis. , 1986 .
[27] T. J. Harris,et al. Performance assessment of multivariable feedback controllers , 1996, Autom..
[28] Masanao Aoki,et al. State Space Modeling of Time Series , 1987 .
[29] Theodora Kourti,et al. Analysis, monitoring and fault diagnosis of batch processes using multiblock and multiway PLS , 1995 .
[30] J. Macgregor,et al. Monitoring and Diagnosing Process Control Performance: The Single-Loop Case , 1991, 1991 American Control Conference.
[31] Age K. Smilde,et al. Three-way analyses problems and prospects , 1992 .
[32] A. Höskuldsson. PLS regression methods , 1988 .
[33] G.A. Dumont,et al. Control loop performance monitoring , 1996, IEEE Trans. Control. Syst. Technol..
[34] B. Kowalski,et al. Partial least-squares regression: a tutorial , 1986 .
[35] Manfred Morari,et al. Performance monitoring of control systems using likelihood methods , 1996, Autom..
[36] S. Wold. Cross-Validatory Estimation of the Number of Components in Factor and Principal Components Models , 1978 .
[37] Karl Pearson F.R.S.. LIII. On lines and planes of closest fit to systems of points in space , 1901 .
[38] T. McAvoy,et al. Batch tracking via nonlinear principal component analysis , 1996 .
[39] Theodora Kourti,et al. Multivariate SPC Methods for Process and Product Monitoring , 1996 .
[40] W. T. Tucker,et al. Algorithmic Statistical Process Control: An Elaboration , 1993 .
[41] P. A. Taylor,et al. Synchronization of batch trajectories using dynamic time warping , 1998 .
[42] S. Wold,et al. Multi‐way principal components‐and PLS‐analysis , 1987 .
[43] A. Cinar,et al. Intelligent process control with supervisory knowledge-based systems , 1994, IEEE Control Systems.
[44] B. Kowalski,et al. Theory of medium‐rank second‐order calibration with restricted‐Tucker models , 1994 .
[45] T. Harris. Assessment of Control Loop Performance , 1989 .
[46] Jay H. Lee,et al. Diagnostic Tools for Multivariable Model-Based Control Systems , 1997 .
[47] John F. MacGregor,et al. Process monitoring and diagnosis by multiblock PLS methods , 1994 .
[48] T. Harris,et al. Performance assessment measures for univariate feedback control , 1992 .
[49] Ali Cinar,et al. Intelligent Process Monitoring by Interfacing Knowledge-Based Systems and Multivariate SPC Tools , 1997 .
[50] Paul Geladi,et al. Analysis of multi-way (multi-mode) data , 1989 .
[51] B. Bakshi. Multiscale PCA with application to multivariate statistical process monitoring , 1998 .
[52] Pieter M. Kroonenberg,et al. Three-mode principal component analysis : theory and applications , 1983 .
[53] Ali Cinar,et al. Statistical process monitoring and disturbance diagnosis in multivariable continuous processes , 1996 .
[54] S. Levinson,et al. Considerations in dynamic time warping algorithms for discrete word recognition , 1978 .
[55] W. T. Tucker,et al. Algorithmic statistical process control: concepts and an application , 1992 .
[56] Paul Geladi,et al. An example of 2-block predictive partial least-squares regression with simulated data , 1986 .
[57] A. J. Morris,et al. Multivariate Statistical Process Control Applied to an Industrial Production Facility , 1997 .
[58] J. Edward Jackson,et al. Principal Components and Factor Analysis: Part I - Principal Components , 1980 .
[59] Wallace E. Larimore,et al. Canonical variate analysis in identification, filtering, and adaptive control , 1990, 29th IEEE Conference on Decision and Control.
[60] Bhavik R. Bakshi,et al. Analysis of operating data for evaluation, diagnosis and control of batch operations , 1994 .
[61] J. Macgregor,et al. Monitoring batch processes using multiway principal component analysis , 1994 .
[62] Age K. Smilde,et al. Three‐way methods for the calibration of chromatographic systems: Comparing PARAFAC and three‐way PLS , 1991 .
[63] J. Edward Jackson,et al. A User's Guide to Principal Components. , 1991 .
[64] Nola D. Tracy,et al. Multivariate Control Charts for Individual Observations , 1992 .
[65] Sirish L. Shah,et al. Practical Issues in Multivariable Feedback Control Performance Assessment , 1997 .
[66] B. Skagerberg,et al. Multivariate data analysis applied to low-density polyethylene reactors , 1992 .
[67] Bart De Moor,et al. N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems , 1994, Autom..
[68] Sirish L. Shah,et al. Good, bad or optimal? Performance assessment of multivariable processes , 1997, Autom..
[69] L. Tucker,et al. Some mathematical notes on three-mode factor analysis , 1966, Psychometrika.