Double-Weighted Independent Component Analysis for Non-Gaussian Chemical Process Monitoring-Reference-Cited by-同舟云学术

Double-Weighted Independent Component Analysis for Non-Gaussian Chemical Process Monitoring

Published:2013-09-26 Issue:40 Volume:52 Page:14396-14405
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Jiang Qingchao¹,Yan Xuefeng¹,Tong Chudong¹

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

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie4009666

Reference45 articles.

1. A review of process fault detection and diagnosis

2. Between-phase-based statistical analysis and modeling for transition monitoring in multiphase batch processes

3. Fault Detection and Diagnosis in Industrial Systems

4. Process Monitoring Based on Independent Component Analysis−Principal Component Analysis (ICA−PCA) and Similarity Factors

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