A distributed monitoring method for non-stationary processes with application to float glass production-Reference-Cited by-同舟云学术

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A distributed monitoring method for non-stationary processes with application to float glass production

Published:2022-11-25 Issue: Volume: Page:
ISSN:
Container-title:2022 China Automation Congress (CAC)
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Author:

Zheng Jie¹,Chen Jianhua²,Ma Bin³,Yang Hui³,Peng Kaixiang²

Affiliation:

1. University of Science and Technology Beijing,School of Advanced Enginnering,Beijing,China

2. University of Science and Technology Beijing,School of Automation and Electrical Engineering,Beijing,China

3. Hebei Panel Glass Co., Ltd,Process Quality Department,Langfang,China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10054511/10054645/10054815.pdf?arnumber=10054815

Reference16 articles.

1. Decentralized monitoring of dynamic processes based on dynamic feature selection and informative fault pattern dissimilarity;tong;IEEE Transactions on Industrial Electronics,2016

2. Distributed dynamic modeling and monitoring for large-scale industrial processes under closed-loop control;li;Industrial & Engineering Chemistry Research,2018

3. Data-Driven Optimized Distributed Dynamic PCA for Efficient Monitoring of Large-Scale Dynamic Processes

4. Nonlinear plant-wide process monitoring using MI-spectral clustering and Bayesian inference-based multiblock KPCA

5. Distributed plant-wide process monitoring based on PCA with minimal redundancy maximal relevance

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