Tensor Slow Feature Analysis for Monitoring Batch Process-Reference-Cited by-同舟云学术

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Tensor Slow Feature Analysis for Monitoring Batch Process

Published:2022-05-04 Issue: Volume: Page:
ISSN:
Container-title:2022 13th Asian Control Conference (ASCC)
language:
Short-container-title:

Author:

Liu Jingxiang¹,Chen Junhui²,Mu Guoqing³

Affiliation:

1. Dalian Maritime University,School of Marine Electrical Engineering,Dalian,China

2. Chung-Yuan Christian University,Department of Chemical Engineering,Taoyuan

3. Qingdao University of Technology,School of Information and Control Engineering,Qingdao,China

Funder

Ministry of Education

Ministry of Science and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9828005/9828007/09828207.pdf?arnumber=9828207

Reference33 articles.

1. Two-directional concurrent strategy of mode identification and sequential phase division for multimode and multiphase batch process monitoring with uneven lengths

2. Sequential local-based Gaussian mixture model for monitoring multiphase batch processes

3. A modular simulation package for fed-batch fermentation: penicillin production

4. Online Monitoring of Batch Processes Using IOHMM Based MPLS

5. PARAFAC. Tutorial and applications

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Tensor slow feature analysis and its applications for batch process monitoring;Computers & Chemical Engineering;2023-05

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