The effect of the size of the training set and number of principal components on the false alarm rate in statistical process monitoring-Reference-Cited by-同舟云学术

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The effect of the size of the training set and number of principal components on the false alarm rate in statistical process monitoring

Published:2004-10 Issue:2 Volume:73 Page:181-187
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Ramaker Henk-Jan,van Sprang Eric N.M.,Westerhuis Johan A.,Smilde Age K.

Publisher

Elsevier BV

Subject

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

Reference14 articles.

1. Control procedures for residuals associated with principal component analysis;Jackson;Technometrics,1979

2. Multivariate statistical monitoring of process operating performance;Kresta;Canadian Journal of Chemical Engineering,1991

3. Multivariate statistical process control of batch processes using three-way models;Louwerse;Chemical Engineering Science,2000

4. Multivariate statistical process control in chromatography;Nijhuis;Chemometrics and Intelligent Laboratory Systems,2003

5. Detection and diagnosis of abnormal batch operations based on multiway principal component analysis;Nomikos;ISA Transactions,1996

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