State-space independent component analysis for nonlinear dynamic process monitoring
Authors:
- P.P. OdioweiPOP.P. Odiowei
- Y. CaoYCY. Cao
- 1 August 2010
- journal article
- Published by Elsevier in Chemometrics and Intelligent Laboratory Systems
- Vol. 103 (1) , 59-65
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Statistical‐based monitoring of multivariate non‐Gaussian systemsAIChE Journal, 2008
- Historical data analysis based on plots of independent and parallel coordinates and statistical control limitsJournal of Process Control, 2006
- Multidimensional Visualization of Principal Component Scores for Process Historical Data AnalysisIndustrial & Engineering Chemistry Research, 2004
- Statistical monitoring of dynamic processes based on dynamic independent component analysisChemical Engineering Science, 2004
- Synthesis of T2 and Q statistics for process monitoringControl Engineering Practice, 2004
- Comparison of multivariate statistical process monitoring methods with applications to the Eastman challenge problemComputers & Chemical Engineering, 2002
- Fast and robust fixed-point algorithms for independent component analysisIEEE Transactions on Neural Networks, 1999
- PLS, balanced, and canonical variate realization techniques for identifying VARMA models in state spaceChemometrics and Intelligent Laboratory Systems, 1997
- Non-parametric confidence bounds for process performance monitoring chartsJournal of Process Control, 1996
- Statistical process control of multivariate processesControl Engineering Practice, 1995