Robust Monitoring of Industrial Processes in the Presence of Outliers in Training Data
Author:
Affiliation:
1. Institute of Process Equipment and Control Engineering, Zhejiang University of Technology, Hangzhou 310014, China
Funder
National Natural Science Foundation 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.8b00464
Reference41 articles.
1. Review on data-driven modeling and monitoring for plant-wide industrial processes
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