Reconstruction-Based Contribution for Process Monitoring with Kernel Principal Component Analysis
Author:
Affiliation:
1. Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ie9018947
Reference19 articles.
1. Multivariate SPC Charts for Monitoring Batch Processes
2. The process chemometrics approach to process monitoring and fault detection
3. Statistical process monitoring: basics and beyond
4. Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis
5. Reconstruction-based contribution for process monitoring
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