Pattern Matching and Active Simulation Method for Process Fault Diagnosis
Author:
Affiliation:
1. Department of Chemical and Process Engineering, University of Surrey, Guildford GU2 7XH, United Kingdom
2. Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
Funder
Engineering and Physical Sciences Research Council
Biotechnology and Biological Sciences Research Council
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.0c02424
Reference42 articles.
1. A Survey of Fault Detection, Isolation, and Reconfiguration Methods
2. A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches
3. Data-driven design of monitoring and diagnosis systems for dynamic processes: A review of subspace technique based schemes and some recent results
4. Reconstruction-Based Contribution for Process Monitoring with Kernel Principal Component Analysis
5. A novel dynamic PCA algorithm for dynamic data modeling and process monitoring
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