Fault Detection and Diagnosis for Nonlinear and Non-Gaussian Processes Based on Copula Subspace Division-Reference-Cited by-同舟云学术

Fault Detection and Diagnosis for Nonlinear and Non-Gaussian Processes Based on Copula Subspace Division

Published:2017-10-02 Issue:40 Volume:56 Page:11545-11564
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Ren Xiang¹²,Zhu Kunping¹²,Cai Ting¹²,Li Shaojun¹²^ORCID

Affiliation:

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

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

Funder

Natural Science Foundation of Shanghai

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.7b02419

Reference52 articles.

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

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

3. A distributed parallel alarm management strategy for alarm reduction in chemical plants

4. Plant-specific dynamic failure assessment using Bayesian theory

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A hierarchical Bayesian network-based semi-mechanistic model for handling data variabilities in dynamical process systems;Computers & Chemical Engineering;2024-06

2. A robust neural network model for fault detection in the presence of mislabelled data;The Canadian Journal of Chemical Engineering;2024-01-23

3. Integrating process dynamics in data-driven models of chemical processing systems;Process Safety and Environmental Protection;2023-06

4. A Probabilistic Copula-Based Fault Detection Method With TrAdaBoost Strategy for Industrial IoT;IEEE Internet of Things Journal;2023-05-01

5. Fault detection in multimodal processes based on the local entropy double subspace;Transactions of the Institute of Measurement and Control;2022-12-14