Just-in-time reorganized PCA integrated with SVDD for chemical process monitoring-Reference-Cited by-同舟云学术

Just-in-time reorganized PCA integrated with SVDD for chemical process monitoring

Published:2014-01-16 Issue:3 Volume:60 Page:949-965
ISSN:0001-1541
Container-title:AIChE Journal
language:en
Short-container-title:AIChE J.

Author:

Jiang Qingchao¹,Yan Xuefeng¹

Affiliation:

1. Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education; East China University of Science and Technology; Shanghai 200237 P.R. China

Publisher

Wiley

Subject

General Chemical Engineering,Environmental Engineering,Biotechnology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/aic.14335/fullpdf

Reference61 articles.

1. Quality control methods for several related variables;Jackson;Technometrics.,1959

2. Statistical process monitoring and disturbance diagnosis in multivariable continuous processes;Raich;AIChE J.,1996

3. Fault Detection and Diagnosis in Industrial Systems

4. Statistical monitoring of multivariable dynamic processes with state-space models;Negiz;AIChE J.,1997

5. Statistical process monitoring: basics and beyond;Qin;J Chemom.,2003

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