Multiblock Adaptive Convolution Kernel Neural Network for Fault Diagnosis in a Large-Scale Industrial Process-Reference-Cited by-同舟云学术

Multiblock Adaptive Convolution Kernel Neural Network for Fault Diagnosis in a Large-Scale Industrial Process

Published:2022-03-29 Issue:14 Volume:61 Page:4879-4895
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Guo Lei¹,Shi Hongbo¹^ORCID,Tan Shuai¹,Song Bing¹,Tao Yang¹

Affiliation:

1. Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, People’s Republic of China

Funder

Natural Science Foundation of Shanghai

National Natural Science Foundation of China

Shanghai Rising-Star Program

National Key Research and Development Program 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.1c04769

Reference35 articles.

1. A robust fault diagnosis approach for large-scale production process

2. A survey and classification of incipient fault diagnosis approaches

3. Improved PLS Focused on Key-Performance-Indicator-Related Fault Diagnosis

4. Fault diagnosis of time-varying processes using modified reconstruction-based contributions

5. Fault Detection and Isolation in Industrial Processes Using Deep Learning Approaches

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