Adaptive Manifold Discriminative Distribution Alignment for Fault Diagnosis of Chemical Processes-Reference-Cited by-同舟云学术

Adaptive Manifold Discriminative Distribution Alignment for Fault Diagnosis of Chemical Processes

Published:2021-06-30 Issue:27 Volume:60 Page:9860-9870
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Xiao Yutang¹,Shi Hongbo¹^ORCID,Wang Boyu²,Tao Yang¹,Tan Shuai¹,Song Bing¹

Affiliation:

1. Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China

2. Department of Computer Science and the Brain Mind Institute, University of Western Ontario, London, Ontario N6A 5B7, Canada

Funder

Natural Science Foundation of Shanghai

National Natural Science Foundation of China

NSERC Discovery Grants Program

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.1c00873

Reference36 articles.

1. An optimized long short-term memory network based fault diagnosis model for chemical processes

2. Simultaneous Fault Detection and Diagnosis Using Adaptive Principal Component Analysis and Multivariate Contribution Analysis

3. Nonlinear and Non-Gaussian Process Monitoring Based on Simplified R-Vine Copula

4. Dissipativity-based distributed fault diagnosis for plantwide chemical processes

5. A new unsupervised data mining method based on the stacked autoencoder for chemical process fault diagnosis

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