Hidden Markov Model Based Adaptive Independent Component Analysis Approach for Complex Chemical Process Monitoring and Fault Detection
Author:
Affiliation:
1. Department of Chemical Engineering, McMaster University, Hamilton, Ontario, Canada L8S 4L7
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ie300203u
Reference32 articles.
1. Statistical process control of multivariate processes
2. Improved Process Understanding Using Multiway Principal Component Analysis
3. A new multivariate statistical process monitoring method using principal component analysis
4. Recursive partial least squares algorithms for monitoring complex industrial processes
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