Soft Sensor Framework Based on Semisupervised Just-in-Time Relevance Vector Regression for Multiphase Batch Processes with Unlabeled Data
Author:
Affiliation:
1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, 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.0c03806
Reference45 articles.
1. Data-Driven Dynamic Modeling and Online Monitoring for Multiphase and Multimode Batch Processes with Uneven Batch Durations
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3. Sequential local-based Gaussian mixture model for monitoring multiphase batch processes
4. Dynamic hypersphere based support vector data description for batch process monitoring
5. Data-Driven Batch-End Quality Modeling and Monitoring Based on Optimized Sparse Partial Least Squares
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