Data-Driven Fault Diagnosis of Chemical Processes Based on Recurrence Plots-Reference-Cited by-同舟云学术

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Data-Driven Fault Diagnosis of Chemical Processes Based on Recurrence Plots

Published:2021-02-10 Issue:7 Volume:60 Page:3038-3055
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Ziaei-Halimejani Hooman¹,Zarghami Reza¹^ORCID,Mansouri Seyed Soheil²^ORCID,Mostoufi Navid¹^ORCID

Affiliation:

1. Multiphase Systems Research Lab, School of Chemical Engineering, College of Engineering, University of Tehran, Tehran 11155/4563, Iran

2. Department of Chemical and Biochemical Engineering, Technical University of Denmark, Søltofts Plads, Building 228A, 2800 Kongens Lyngby, Denmark

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.0c06307

Reference63 articles.

1. Survey on data-driven industrial process monitoring and diagnosis

2. Bridging data-driven and model-based approaches for process fault diagnosis and health monitoring: A review of researches and future challenges

3. Review on data-driven modeling and monitoring for plant-wide industrial processes

4. Failure Analysis Using Functional Model and Bayesian Network

5. A review of data-driven fault detection and diagnosis methods: applications in chemical process systems

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