A Novel Fault Diagnosis Framework for Industrial Production Processes Based on Causal Network Inference-Reference-Cited by-同舟云学术

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A Novel Fault Diagnosis Framework for Industrial Production Processes Based on Causal Network Inference

Published:2024-05-15 Issue:21 Volume:63 Page:9471-9488
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Zhang Jiaxin¹²,Rangaiah Gade Pandu²^ORCID,Dong Lichun¹^ORCID,Samavedham Lakshminarayanan²³

Affiliation:

1. School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400044, PR China

2. Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117576, Singapore

3. Department of Chemical Engineering, BITS Pilani Hyderabad Campus, Hyderabad 500078, India

Funder

China Scholarship Council

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.3c04275

Reference42 articles.

1. Adaptive Manifold Discriminative Distribution Alignment for Fault Diagnosis of Chemical Processes

2. Model-Based Fault Diagnosis and Fault Tolerant Control for Safety-Critical Chemical Reactors: A Case Study of an Exothermic Continuous Stirred-Tank Reactor

3. ProTopormer: Toward Understandable Fault Diagnosis Combining Process Topology for Chemical Processes

4. Local ICA for multivariate statistical fault diagnosis in systems with unknown signal and error distributions

5. Fault detection of multimode non-Gaussian dynamic process using dynamic Bayesian independent component analysis

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