Special Issue on “Process Monitoring and Fault Diagnosis”
Author:
Affiliation:
1. College of Chemical Engineering, Beijing University of Chemical Technology, North Third Ring Road 15, Chaoyang District, Beijing 100029, China
Abstract
Publisher
MDPI AG
Link
https://www.mdpi.com/2227-9717/12/7/1432/pdf
Reference23 articles.
1. Trends in the application of model-based fault detection and diagnosis of technical processes;Isermann;Control Eng. Pract.,1997
2. A review of process fault detection and diagnosis Part I: Quantitative model-based methods;Venkatasubramanian;Comput. Chem. Eng.,2003
3. Review on data-driven modeling and monitoring for plant-wide industrial processes;Ge;Chemom. Intell. Lab. Syst.,2017
4. Survey on data-driven industrial process monitoring and diagnosis;Qin;Annu. Rev. Control,2012
5. Data-driven monitoring of multimode continuous processes: A review;Verde;Chemom. Intell. Lab. Syst.,2019
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