Fault Detection and Diagnosis for Non-Gaussian Processes with Periodic Disturbance Based on AMRA-ICA-Reference-Cited by-同舟云学术

Fault Detection and Diagnosis for Non-Gaussian Processes with Periodic Disturbance Based on AMRA-ICA

Published:2013-08-14 Issue:34 Volume:52 Page:12082-12107
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Tian Ying¹,Du Wenli¹,Qian Feng¹

Affiliation:

1. Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, 130 MeiLong Road, Shanghai, 200237, China

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie400712h

Reference45 articles.

1. Non-linear principal components analysis using genetic programming

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3. Comparing support vector machines with Gaussian kernels to radial basis function classifiers

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