Enhancing Quality of Multivariate Process Monitoring Based on Vine Copula and Active Learning Strategy-Reference-Cited by-同舟云学术

Enhancing Quality of Multivariate Process Monitoring Based on Vine Copula and Active Learning Strategy

Published:2018-05-22 Issue:23 Volume:57 Page:7961-7974
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Zhou Yang¹,Ren Xiang²,Li Shaojun¹^ORCID

Affiliation:

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

2. Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, New Jersey 08854, United States

Funder

Ministry of Education of the People's Republic of China

National Natural Science Foundation of 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/acs.iecr.7b05128

Reference59 articles.

1. A review of process fault detection and diagnosis

2. A review of process fault detection and diagnosis

3. A review of process fault detection and diagnosis

4. Statistical process monitoring: basics and beyond

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