Multiscale Nonlinear Principal Component Analysis (NLPCA) and Its Application for Chemical Process Monitoring
Authors:
- 25 March 2005
- journal article
- research article
- Published by American Chemical Society (ACS) in Industrial & Engineering Chemistry Research
- Vol. 44 (10) , 3585-3593
Abstract
No abstract availableKeywords
This publication has 8 references indexed in Scilit:
- Real-time batch process supervision by integrated knowledge-based systems and multivariate statistical methodsEngineering Applications of Artificial Intelligence, 2003
- Multivariate process monitoring and fault diagnosis by multi-scale PCAComputers & Chemical Engineering, 2002
- Multiscale PCA with application to multivariate statistical process monitoringAIChE Journal, 1998
- Process monitoring using non-linear statistical techniquesChemical Engineering Journal, 1997
- Nonlinear principal component analysis—Based on principal curves and neural networksComputers & Chemical Engineering, 1996
- Process analysis, monitoring and diagnosis, using multivariate projection methodsChemometrics and Intelligent Laboratory Systems, 1995
- Multivariate Density Estimation1992
- Nonlinear principal component analysis using autoassociative neural networksAIChE Journal, 1991