A unified statistical framework for monitoring multivariate systems with unknown source and error signals-Reference-Cited by-同舟云学术

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

Published:2010-12 Issue:2 Volume:104 Page:223-232
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Feital Thiago,Kruger Uwe,Lei Xie ,Schubert Udo,Lima Enrique Luis,Pinto José Carlos

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference23 articles.

1. A review of process fault detection and diagnosis part III: Process history based methods;Venkatasubramanian;Computers and Chemical Engineering,2003

2. An industrial perspective on implementing on-line applications of multivariate statistics;Miletic;Journal of Process Control,2004

3. Application of latent variable methods to process control and multivariate statistical process control in industry;Kourti;International Journal of Adaptive Control and Signal Processing,2005

4. Probabilistic principal component analysis;Tipping;Journal of the Royal Statistical Society Series B,1999

5. Selection of the number of principal components: the variance of the reconstruction error criterion with a comparison to other methods;Valle;Industrial and Engineering Chemistry Research,1999

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