A Multiblock Kernel Dynamic Latent Variable Model for Large-Scale Industrial Process Monitoring
Author:
Affiliation:
1. Department of Automation, Tsinghua University, Beijing, China
2. Basic Research and Development Department, Guiyang Longmaster Information and Technology Company Ltd., Guiyang, China
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/9717300/09931159.pdf?arnumber=9931159
Reference36 articles.
1. Plant-wide process monitoring based on mutual information–multiblock principal component analysis
2. Decentralized Fault Diagnosis of Large-Scale Processes Using Multiblock Kernel Partial Least Squares
3. Process monitoring and diagnosis by multiblock PLS methods
4. A new linear method for analyzing four‐way multiblock tables: STATIS‐4
5. Contribution rate plot for nonlinear quality-related fault diagnosis with application to the hot strip mill process
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