Fault propagation path estimation in NGL fractionation process using principal component analysis-Reference-Cited by-同舟云学术

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Fault propagation path estimation in NGL fractionation process using principal component analysis

Published:2017-03 Issue: Volume:162 Page:73-82
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Ahmed Usama,Ha Daegeun,An Jinjoo,Zahid Umer,Han Chonghun

Funder

Ministry of Land, Infrastructure and Transport (MOLIT) of Korea government and Korea Agency for Infrastructure Technology Advancement (KAIA).

Publisher

Elsevier BV

Subject

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

Reference36 articles.

1. Fault detection of plasma etchers using optical emission spectra;Yue;Semicond. Manuf. IEEE Trans.,2000

2. Improved process understanding using multiway principal component analysis;Kosanovich;Ind. Eng. Chem. Res.,1996

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

4. Multivariate statistical monitoring of process operating performance;Kresta;Can. J. Chem. Eng.,1991

5. R.D. De Veaux, L.H.Ungar, J.M.Vinson, Statistical approaches to fault analysis in multivariate process control, in: Proceedings of the American Control Conference on IEEE, 1994.

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