Double-step block division plant-wide fault detection and diagnosis based on variable distributions and relevant features-Reference-Cited by-同舟云学术

Double-step block division plant-wide fault detection and diagnosis based on variable distributions and relevant features

Published:2015-09-02 Issue:11 Volume:29 Page:587-605
ISSN:0886-9383
Container-title:Journal of Chemometrics
language:en
Short-container-title:J. Chemometrics

Author:

Huang Jian¹,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 China

Funder

973 project of China

National Natural Science Foundation of China

Program for New Century Excellent Talents in University

Fundamental Research Funds for the Central Universities.

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cem.2743/fullpdf

Reference41 articles.

1. Extended PLS approach for enhanced condition monitoring of industrial processes;Kruger;Aiche J,2001

2. Diagnosis of process faults in chemical systems using a local partial least squares approach;Kruger;Aiche J,2008

4. On-line batch process monitoring using dynamic PCA and dynamic PLS models;Chen;Chem Eng Sci,2002

5. On-line dynamic process monitoring using wavelet-based generic dissimilarity measure;Alabi;Chem Eng Res Des,2005

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