Improved Vine Copula-Based Dependence Description for Multivariate Process Monitoring Based on Ensemble Learning-Reference-Cited by-同舟云学术

Improved Vine Copula-Based Dependence Description for Multivariate Process Monitoring Based on Ensemble Learning

Published:2019-02-12 Issue:9 Volume:58 Page:3782-3796
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Zhou Yang¹,Li Shaojun¹^ORCID,Xiong Ning²

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. School of Innovation, Design and Engineering, Mälardalen University, SE-72123 Västeras, Sweden

Funder

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.8b04081

Reference62 articles.

1. Dynamic risk analysis using alarm databases to improve process safety and product quality: Part II-Bayesian analysis

2. Dynamic risk analysis using bow-tie approach

3. Risk-based operational performance analysis using loss functions

4. Quantifying the effectiveness of an alarm management system through human factors studies

5. Pattern matching of alarm flood sequences by a modified Smith–Waterman algorithm

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