Fault Detection for Dynamic Processes Based on Recursive Innovational Component Statistical Analysis
Author:
Affiliation:
1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China
2. Rundian Energy Science and Technology Company Ltd., Zhengzhou, China
Funder
Project of Qingdao Leading Talents in Entrepreneurship and Innovation
High Performance Computing Platform, College of Information Science and Technology, Beijing University of Chemical Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/8856/10007430/09712627.pdf?arnumber=9712627
Reference41 articles.
1. Blood glucose concentration prediction based on kernel canonical correlation analysis with particle swarm optimization and error compensation
2. Rank-One Matrix Completion With Automatic Rank Estimation via L1-Norm Regularization
3. Multimode Process Monitoring Using Variational Bayesian Inference and Canonical Correlation Analysis
4. Best Linear Unbiased Estimation and Prediction under a Selection Model
5. Concurrent monitoring of operating condition deviations and process dynamics anomalies with slow feature analysis
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